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'''IEEE 754-1985''' was an industry [[technical standard|standard]] for representing [[floating-point]] numbers in [[computers]], officially adopted in 1985 and superseded in 2008 by [[IEEE 754-2008]]. During its 23 years, it was the most widely used format for floating-point computation. It was implemented in software, in the form of floating-point [[library (computing)|libraries]], and in hardware, in the [[instruction (computer science)|instructions]] of many [[CPU]]s and [[floating-point unit|FPUs]]. The first [[integrated circuit]] to implement the draft of what was to become IEEE 754-1985 was the [[Intel 8087]].


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IEEE 754-1985 represents numbers in [[binary numeral system|binary]], providing definitions for four levels of precision, of which the two most commonly used are:
 
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{| class="wikitable"
|-
!level
!width
!range
!precision*
|-
|single precision
|32 bits
|±1.18{{e|-38}} to ±3.4{{e|38}}
|approx. 7 decimal digits
|-
|double precision
|64 bits
|±2.23{{e|-308}} to ±1.80{{e|308}}
|approx. 15 decimal digits
|}
* Precision: The number of decimal digits precision is calculated via number_of_mantissa_bits * Log<sub>10</sub>(2). Thus ~7.2 and ~15.9 for single and double precision respectively.


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The standard also defines representations for positive and negative [[infinity]], a "[[negative zero]]", five exceptions to handle invalid results like [[division by zero]], special values called [[NaN]]s for representing those exceptions, [[denormal numbers]] to represent numbers smaller than shown above, and four [[rounding]] modes.
 
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[[Image:IEEE 754 Single Floating Point Format.svg|right|frame|The number 0.15625 represented as a single-precision IEEE 754-1985 floating-point number. See text for explanation.]]
 
[[Image:IEEE 754 Double Floating Point Format.svg|right|frame|The three fields in a 64bit IEEE 754 float]]
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Floating-point numbers in IEEE&nbsp;754 format consist of three fields: a [[sign bit]], a [[exponent bias|biased exponent]], and a fraction. The following example illustrates the meaning of each.


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The decimal number 0.15625<sub>10</sub> represented in binary is 0.00101<sub>2</sub> (that is, 1/8 + 1/32). (Subscripts indicate the number [[radix|base]].) Analogous to [[scientific notation]], where numbers are written to have a single non-zero digit to the left of the decimal point, we rewrite this number so it has a single 1 bit to the left of the "binary point". We simply multiply by the appropriate power of 2 to compensate for shifting the bits left by three positions:
 
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: <math>0.00101_2 = 1.01_2 \times 2^{-3}</math>


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Now we can read off the fraction and the exponent: the fraction is .01<sub>2</sub> and the exponent is −3.
 
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As illustrated in the pictures, the three fields in the IEEE&nbsp;754 representation of this number are:


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: ''sign'' = 0, because the number is positive. (1 indicates negative.)
 
: ''biased exponent'' = −3 + the "bias". In single precision, the bias is 127, so in this example the biased exponent is 124; in double precision, the bias is 1023, so the biased exponent in this example is 1020.
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: ''fraction'' = .01000…<sub>2</sub>.
 
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The number zero is represented specially:
 
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: ''sign'' = 0 for [[signed zero|positive zero]], 1 for [[signed zero|negative zero]].
: ''biased exponent'' = 0.
: ''fraction'' = 0.


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=== Denormalized numbers ===
 
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The number representations described above are called ''normalized,'' meaning that the implicit leading binary digit is a 1. To reduce the loss of precision when an [[Arithmetic underflow|underflow]] occurs, IEEE&nbsp;754 includes the ability to represent fractions smaller than are possible in the normalized representation, by making the implicit leading digit a 0. Such numbers are called [[denormal numbers|denormal]]. They don't include as many [[significant digits]] as a normalized number, but they enable a gradual loss of precision when the result of an [[Floating-point arithmetic#Floating-point arithmetic operations|arithmetic operation]] is not exactly zero but is too close to zero to be represented by a normalized number.


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A denormal number is represented with a biased exponent of all 0 bits, which represents an exponent of −126 in single precision (not −127), or −1022 in double precision (not −1023).<ref>{{cite book|last=Hennessy|title=Computer Organization and Design|publisher=Morgan Kaufmann|page=270}}</ref> In contrast, the smallest biased exponent representing a normal number is 1 (see [[#Examples|examples]] below).
 
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== 2010 Louis Vuitton Neverfull Gm ==
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The biased-exponent field is filled with all 1 bits to indicate either infinity or an invalid result of a computation.
 
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[[Extended real line|Positive and negative infinity]] are represented thus:
 
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: ''sign'' = 0 for positive infinity, 1 for negative infinity.
: ''biased exponent'' = all 1 bits.
: ''fraction'' = all 0 bits.


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Some operations of [[Floating-point arithmetic#Floating-point arithmetic operations|floating-point arithmetic]] are invalid, such as [[division by zero|dividing by zero]] or taking the square root of a negative number. The act of reaching an invalid result is called a floating-point ''exception.'' An exceptional result is represented by a special code called a NaN, for "[[Not a Number]]". All NaNs in IEEE&nbsp;754-1985 have this format:


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: ''sign'' = either 0 or 1.
 
: ''biased exponent'' = all 1 bits.
  <li>[http://www.0936so.com/forum.php?mod=viewthread&tid=246271&fromuid=5961 http://www.0936so.com/forum.php?mod=viewthread&tid=246271&fromuid=5961]</li>
: ''fraction'' = anything except all 0 bits (since all 0 bits represents infinity).
 
 
   <li>[http://www.0936so.com/thread-247791-1-1.html http://www.0936so.com/thread-247791-1-1.html]</li>
== Range and precision ==
 
 
  <li>[http://www.jyj578.com/news/html/?70491.html http://www.jyj578.com/news/html/?70491.html]</li>
Precision is defined as the minimum difference between two successive mantissa representations; thus it is a function only in the mantissa; while the gap is defined as the difference between two successive numbers.<ref>Computer Arithmetic; Hossam A. H. Fahmy, Shlomo Waser, and Michael J. Flynn; http://arith.stanford.edu/~hfahmy/webpages/arith_class/arith.pdf</ref>
 
 
  <li>[http://www.chacom.cn/forum.php?mod=viewthread&tid=474990&fromuid=8503 http://www.chacom.cn/forum.php?mod=viewthread&tid=474990&fromuid=8503]</li>
=== Single precision ===
 
 
</ul>
Single-precision numbers occupy 32 bits. In single precision:
* The positive and negative numbers closest to zero (represented by the denormalized value with all 0s in the exponent field and the binary value 1 in the fraction field) are
*: ±2<sup>&minus;149</sup> ≈ ±1.4012985{{e|−45}}
* The positive and negative normalized numbers closest to zero (represented with the binary value 1 in the exponent field and 0 in the fraction field) are
*: ±2<sup>&minus;126</sup> ≈ ±1.175494351{{e|−38}}
* The finite positive and finite negative numbers furthest from zero (represented by the value with 254 in the exponent field and all 1s in the fraction field) are
*: ±(1−2<sup>−24</sup>)&times;2<sup>128</sup><ref name="Kahan">{{Cite journal
  | author = William Kahan |author-link=William Kahan
  | title = Lecture Notes on the Status of IEEE 754
  | version =  October 1, 1997 3:36 am
  | publisher = Elect. Eng. & Computer Science University of California
  | url = http://www.cs.berkeley.edu/~wkahan/ieee754status/IEEE754.PDF
  | format = PDF
  | accessdate = 2007-04-12 }}</ref> ≈ ±3.402823466{{e|38}}
 
Some example range and gap values for given exponents in single precision:
 
{| class="wikitable" style="text-align:right;"
|- style="text-align:center;"
! Actual Exponent (unbiased)
! Exp (biased)
! Minimum
! Maximum
! Gap
|-
| 0
| 127
| 1
| 1.999999880791
| 1.19209289551e−7
|-
| 1
| 128
| 2
| 3.99999976158
| 2.38418579102e−7
|-
| 2
| 129
| 4
| 7.99999952316
| 4.76837158203e−7
|-
| 10
| 137
| 1024
| 2047.99987793
| 1.220703125e−4
|-
| 11
| 138
| 2048
| 4095.99975586
| 2.44140625e−4
|-
| 23
| 150
| 8388608
| 16777215
| 1
|-
| 24
| 151
| 16777216
| 33554430
| 2
|-
| 127
| 254
| 1.7014e38
| 3.4028e38
| 2.02824096037e31
|}
 
As an example, 16,777,217 can not be encoded as a 32-bit float as it will be rounded to 16,777,216. This shows why floating point arithmetic is unsuitable for accounting software.  However, all integers within the representable range that are a power of 2 can be stored in a 32-bit float without rounding.
 
=== Double precision ===
 
Double-precision numbers occupy 64 bits. In double precision:
* The positive and negative numbers closest to zero (represented by the denormalized value with all 0s in the Exp field and the binary value 1 in the Fraction field) are
*: ±2<sup>&minus;1074</sup> ≈ ±5{{e|−324}}
* The positive and negative normalized numbers closest to zero (represented with the binary value 1 in the Exp field and 0 in the fraction field) are
*: ±2<sup>&minus;1022</sup> ≈ ±2.2250738585072014{{e|−308}}
* The finite positive and finite negative numbers furthest from zero (represented by the value with 2046 in the Exp field and all 1s in the fraction field) are
*: ±((1−(1/2)<sup>53</sup>)2<sup>1024</sup>)<ref name="Kahan" /> ≈ ±1.7976931348623157{{e|308}}
 
Some example range and gap values for given exponents in double precision:
 
{| class="wikitable" style="text-align:right;"
|- style="text-align:center;"
! Actual Exponent (unbiased)
! Exp (biased)
! Minimum
! Maximum
! Gap
|-
| 0
| 1023
| 1
| 1.9999999999999997
| 2.2204460492503130808472633e−16
|-
| 1
| 1024
| 2
| 3.9999999999999995
| 8.8817841970012523233890533447266e−16
|-
| 2
| 1025
| 4
| 7.9999999999999990
| 3.5527136788005009293556213378906e−15
|-
| 10
| 1033
| 1024
| 2047.9999999999997
| 2.27373675443232059478759765625e−13
|-
| 11
| 1034
| 2048
| 4095.9999999999995
| 4.5474735088646411895751953125e−13
|-
| 52
| 1075
| 4503599627370496
| 9007199254740991
| 1
|-
| 53
| 1076
| 9007199254740992
| 18014398509481982
| 2
|-
| 1023
| 2046
| 8.9884656743115800e307
| 1.7976931348623157e308
| 1.9958403095347198116563727130368e292
|}
 
=== Extended formats ===
 
The standard also recommends extended format(s) to be used to perform internal computations at a higher precision than that required for the final result, to minimise round-off errors: the standard only specifies minimum precision and exponent requirements for such formats. The [[x87]] [[extended precision|80-bit extended format]] is the most commonly implemented extended format that meets these requirements.
 
== Examples ==
 
Here are some examples of single-precision IEEE 754 representations:
 
{| class="wikitable"
|-
! Type
! Sign
! Actual Exponent
! Exp (biased)
! Exponent field
! Significand (fraction field)
! Value
|-
| Zero
| style="text-align:center;"| 0
| −127
| style="text-align:right;"| 0
| 0000 0000
| 000 0000 0000 0000 0000 0000
| 0.0
|-
| [[Negative zero]]
| style="text-align:center;"| 1
| −127
| style="text-align:right;"| 0
| 0000 0000
| 000 0000 0000 0000 0000 0000
| &minus;0.0
|-
| One
| style="text-align:center;"| 0
| 0
| style="text-align:right;"| 127
| 0111 1111
| 000 0000 0000 0000 0000 0000
| 1.0
|-
| Minus One
| style="text-align:center;"| 1
| 0
| style="text-align:right;"| 127
| 0111 1111
| 000 0000 0000 0000 0000 0000
| &minus;1.0
|-
| Smallest [[Denormal number|denormalized number]]
| style="text-align:center;"| *
| −127
| style="text-align:right;"| 0
| 0000 0000
| 000 0000 0000 0000 0000 0001
| ±2<sup>&minus;23</sup> &times; 2<sup>&minus;126</sup> = ±2<sup>&minus;149</sup> ≈ ±1.4{{e|-45}}
|-
| "Middle" denormalized number
| style="text-align:center;"| *
| −127
| style="text-align:right;"| 0
| 0000 0000
| 100 0000 0000 0000 0000 0000
| ±2<sup>&minus;1</sup> &times; 2<sup>&minus;126</sup> = ±2<sup>&minus;127</sup> ≈ ±5.88{{e|-39}}
|-
| Largest denormalized number
| style="text-align:center;"| *
| −127
| style="text-align:right;"| 0
| 0000 0000
| 111 1111 1111 1111 1111 1111
| ±(1−2<sup>−23</sup>) &times; 2<sup>−126</sup> ≈ ±1.18{{e|-38}}
|-
| Smallest normalized number
| style="text-align:center;"| *
| −126
| style="text-align:right;"| 1
| 0000 0001
| 000 0000 0000 0000 0000 0000
| ±2<sup>−126</sup> ≈ ±1.18{{e|-38}}
|-
| Largest normalized number
| style="text-align:center;"| *
| 127
| style="text-align:right;"| 254
| 1111 1110
| 111 1111 1111 1111 1111 1111
| ±(2&minus;2<sup>−23</sup>) &times; 2<sup>127</sup> ≈ ±3.4{{e|38}}
|-
| Positive infinity
| style="text-align:center;"| 0
| 128
| style="text-align:right;"| 255
| 1111 1111
| 000 0000 0000 0000 0000 0000
| +∞
|-
| Negative infinity
| style="text-align:center;"| 1
| 128
| style="text-align:right;"| 255
| 1111 1111
| 000 0000 0000 0000 0000 0000
| −∞
|-
| [[Not a number]]
| style="text-align:center;"| *
| 128
| style="text-align:right;"| 255
| 1111 1111
| non zero
| NaN
|-
| colspan="7" | *  Sign bit can be either 0  or 1&nbsp;.
|}
 
==Comparing floating-point numbers==
Every possible bit combination is either a NaN or a number with a unique value in the [[affinely extended real number system]] with its associated order, except for the two bit combinations negative zero and positive zero, which sometimes require special attention (see below). The binary representation has the special property that, excluding NaNs, any two numbers can be compared like [[sign and magnitude]] integers (although with modern computer processors this is no longer directly applicable): if the sign bit is different, the negative number precedes the positive number (except that negative zero and positive zero should be considered equal), otherwise, relative order is the same as [[lexicographical order]] but inverted for two negative numbers; [[endianness]] issues apply.
 
Floating-point arithmetic is subject to rounding that may affect the outcome of comparisons on the results of the computations.
 
Although negative zero and positive zero are generally considered equal for comparison purposes, some [[programming language]] [[relational operator]]s and similar constructs might or do treat them as distinct. According to the [[Java (programming language)|Java]] Language Specification,<ref>[http://java.sun.com/docs/books/jls/ The Java Language Specification]</ref> comparison and equality operators treat them as equal, but Math.min() and Math.max() distinguish them (officially starting with Java version 1.1 but actually with 1.1.1), as do the comparison methods equals(), compareTo() and even compare() of classes Float and Double.
 
==Rounding floating-point numbers==
The IEEE standard has four different rounding modes; the first is the default; the others are called ''[[directed rounding]]s''.
 
* '''Round to Nearest''' &ndash; rounds to the nearest value; if the number falls midway it is rounded to the nearest value with an even (zero) least significant bit, which occurs 50% of the time (in [[IEEE 754-2008]] this mode is called ''roundTiesToEven'' to distinguish it from another round-to-nearest mode)
* '''Round toward 0''' &ndash; directed rounding towards zero
* '''Round toward +∞''' &ndash; directed rounding towards positive infinity
* '''Round toward −∞''' &ndash; directed rounding towards negative infinity.
 
==Extending the real numbers==
The IEEE standard employs (and extends) the [[affinely extended real number system]], with separate positive and negative infinities. During drafting, there was a proposal for the standard to incorporate the [[projectively extended real number system]], with a single unsigned infinity, by providing programmers with a mode selection option. In the interest of reducing the complexity of the final standard, the projective mode was dropped, however. The [[Intel 8087]] and [[Intel 80287]] [[floating point]] [[co-processor]]s both support this projective mode.<ref>{{cite journal|journal=ACM Transactions on Programming Languages and Systems|volume=18|issue=2|date=March 1996|format=PDF|url=http://www.jhauser.us/publications/1996_Hauser_FloatingPointExceptions.html|author=John R. Hauser|title=Handling Floating-Point Exceptions in Numeric Programs}}</ref><ref>{{cite journal|title=IEEE Task P754: A proposed standard for binary floating-point arithmetic|date=March 1981|journal=IEEE Computer|volume=14|issue=3|pages=51–62|author=David Stevenson}}</ref><ref>{{cite journal|author= William Kahan and John Palmer|year=1979|title=On a proposed floating-point standard|journal=SIGNUM Newsletter|volume=14|issue=Special|pages=13–21|doi= 10.1145/1057520.1057522}}</ref>
 
==Functions and predicates==
 
===Standard operations===
The following functions must be provided:
*[[arithmetic operations|Add, subtract, multiply, divide]]
*[[Square root]]
*Floating point remainder. This is not like a normal [[modulo operation]], it can be negative for two positive numbers. It returns the exact value of {{math|x–(round(x/y)·y)}}.
*[[rounding to integer|Round to nearest integer]]. For undirected rounding when halfway between two integers the even integer is chosen.
*Comparison operations. Besides the more obvious results, IEEE&nbsp;754 defines that −∞&nbsp;=&nbsp;−∞, +∞&nbsp;=&nbsp;+∞ and <var>x</var>&nbsp;≠&nbsp;<code>NaN</code> for any <var>x</var> (including <code>NaN</code>).
 
===Recommended functions and predicates===
* Under some C compilers, <code>copysign(x,y)</code> returns x with the sign of y, so <code>abs(x)</code> equals <code>copysign(x,1.0)</code>. This is one of the few operations which operates on a NaN in a way resembling arithmetic. The function <code>copysign</code> is new in the C99 standard.
* &minus;x returns x with the sign reversed. This is different from 0&minus;x in some cases, notably when x is 0. So &minus;(0) is &minus;0, but the sign of 0&minus;0 depends on the rounding mode.
* <code>scalb(y, N)</code>
* <code>logb(x)</code>
* <code>finite(x)</code> a [[Predicate (mathematics)|predicate]] for "x is a finite value", equivalent to &minus;Inf < x < Inf
* <code>isnan(x)</code> a predicate for "x is a NaN", equivalent to "x ≠ x"
* <code>x <> y</code> which turns out to have different exception behavior than NOT(x = y).
* <code>unordered(x, y)</code> is true when "x is unordered with y", i.e., either x or y is a NaN.
* <code>class(x)</code>
* <code>nextafter(x,y)</code> returns the next representable value from x in the direction towards y
 
==History==
In 1976 Intel began planning to produce a floating point coprocessor. Dr John Palmer, the manager of the effort, persuaded them that they should try to develop a standard for all their floating point operations. [[William Kahan]] was hired as a consultant; he had helped improve the accuracy of Hewlett Packard's calculators. Kahan initially recommended that the floating point base be decimal<ref>W. Kahan 2003, pers. comm. to [[Mike Cowlishaw]] and others after an IEEE 754 meeting</ref> but the hardware design of the coprocessor was too far advanced to make that change.
 
The work within Intel worried other vendors, who set up a standardization effort to ensure a 'level playing field'. Kahan attended the second IEEE 754 standards working group meeting, held in November 1977. Here, he received permission from Intel to put forward a draft proposal based on the standard arithmetic part of their design for a coprocessor. The arguments over gradual underflow lasted until 1981 when an expert commissioned by DEC to assess it sided against the dissenters.  
 
Even before it was approved, the draft standard had been implemented by a number of manufacturers.<ref>{{cite web|url=http://www.eecs.berkeley.edu/~wkahan/ieee754status/754story.html|title=An Interview with the Old Man of Floating-Point| author=Charles Severance |author-link=Charles Severance |date=20 February 1998}}</ref><ref>{{cite web|publisher=Connexions |url=http://cnx.org/content/m32770/latest/ |title=History of IEEE Floating-Point Format|author=Charles Severance |author-link=Charles Severance}}</ref> The [[Intel 8087]], which was announced in 1980, was the first chip to implement the draft standard.
 
==See also==
* [[IEEE 754-2008]]
* [[&minus;0 (number)|&minus;0]] (negative zero)
* [[Intel 8087]]
* [[minifloat]] for simple examples of properties of IEEE 754 floating point numbers
* [[Fixed-point arithmetic]]
 
==References==
{{reflist}}
 
== Further reading==
*{{cite journal
|    author = Charles Severance |author-link=Charles Severance
|      title = IEEE 754: An Interview with William Kahan
|   journal = [[IEEE Computer]]
|date=March 1998
|    volume = 31
|      issue = 3
|      pages = 114–115
|        doi = 10.1109/MC.1998.660194
|        url = http://www.freecollab.com/dr-chuck/papers/columns/r3114.pdf
| accessdate = 2008-04-28
|    format = PDF
|      quote = 
}}
* {{cite journal
|    author = David Goldberg
|      title = What Every Computer Scientist Should Know About Floating-Point Arithmetic
|    journal = [[ACM Computing Surveys]]
|date=March 1991
|    volume = 23
|      issue = 1
|      pages = 5–48
|        doi = 10.1145/103162.103163
|        url = http://www.validlab.com/goldberg/paper.pdf
| accessdate = 2008-04-28
|    format = PDF
|      quote = 
}}
* {{cite journal
|    author = Chris Hecker
|      title = Let's Get To The (Floating) Point
|    journal = Game Developer Magazine
|date=February 1996
|      pages = 19–24
|      issn = 1073-922X
|        url = http://www.d6.com/users/checker/pdfs/gdmfp.pdf
|format=PDF| accessdate =
|      quote = 
}}
* {{cite journal
|    author = David Monniaux
|      title = The pitfalls of verifying floating-point computations
|    journal = [[ACM Transactions on Programming Languages and Systems]]
|date=May 2008
|      pages = article #12
|    volume = 30
|      issue = 3
|        doi = 10.1145/1353445.1353446
|      issn = 0164-0925
|        url = http://hal.archives-ouvertes.fr/hal-00128124/en/}}: A compendium of non-intuitive behaviours of floating-point on popular architectures, with implications for program verification and testing.
 
==External links==
* [http://www.cygnus-software.com/papers/comparingfloats/comparingfloats.htm Comparing floats]
* [http://www.coprocessor.info/ Coprocessor.info: x87 FPU pictures, development and manufacturer information]
* [http://babbage.cs.qc.edu/courses/cs341/IEEE-754references.html IEEE 754 references]
* [http://speleotrove.com/decimal/854mins.html IEEE 854-1987] &mdash; History and minutes
* [http://babbage.cs.qc.edu/IEEE-754/ Online IEEE 754 Calculators]
* [http://www.binaryconvert.com/convert_float.html IEEE754 (Single and Double precision) Online Converter]
 
{{IEEE standards}}
 
{{DEFAULTSORT:Ieee 754-1985}}
[[Category:Computer arithmetic]]
[[Category:IEEE standards]]

Revision as of 03:44, 28 January 2014

IEEE 754-1985 was an industry standard for representing floating-point numbers in computers, officially adopted in 1985 and superseded in 2008 by IEEE 754-2008. During its 23 years, it was the most widely used format for floating-point computation. It was implemented in software, in the form of floating-point libraries, and in hardware, in the instructions of many CPUs and FPUs. The first integrated circuit to implement the draft of what was to become IEEE 754-1985 was the Intel 8087.

IEEE 754-1985 represents numbers in binary, providing definitions for four levels of precision, of which the two most commonly used are:

level width range precision*
single precision 32 bits ±1.18Template:E to ±3.4Template:E approx. 7 decimal digits
double precision 64 bits ±2.23Template:E to ±1.80Template:E approx. 15 decimal digits
  • Precision: The number of decimal digits precision is calculated via number_of_mantissa_bits * Log10(2). Thus ~7.2 and ~15.9 for single and double precision respectively.

The standard also defines representations for positive and negative infinity, a "negative zero", five exceptions to handle invalid results like division by zero, special values called NaNs for representing those exceptions, denormal numbers to represent numbers smaller than shown above, and four rounding modes.

Representation of numbers

The number 0.15625 represented as a single-precision IEEE 754-1985 floating-point number. See text for explanation.
The three fields in a 64bit IEEE 754 float

Floating-point numbers in IEEE 754 format consist of three fields: a sign bit, a biased exponent, and a fraction. The following example illustrates the meaning of each.

The decimal number 0.1562510 represented in binary is 0.001012 (that is, 1/8 + 1/32). (Subscripts indicate the number base.) Analogous to scientific notation, where numbers are written to have a single non-zero digit to the left of the decimal point, we rewrite this number so it has a single 1 bit to the left of the "binary point". We simply multiply by the appropriate power of 2 to compensate for shifting the bits left by three positions:

Now we can read off the fraction and the exponent: the fraction is .012 and the exponent is −3.

As illustrated in the pictures, the three fields in the IEEE 754 representation of this number are:

sign = 0, because the number is positive. (1 indicates negative.)
biased exponent = −3 + the "bias". In single precision, the bias is 127, so in this example the biased exponent is 124; in double precision, the bias is 1023, so the biased exponent in this example is 1020.
fraction = .01000…2.

IEEE 754 adds a bias to the exponent so that numbers can in many cases be compared conveniently by the same hardware that compares signed 2's-complement integers. Using a biased exponent, the lesser of two positive floating-point numbers will come out "less than" the greater following the same ordering as for sign and magnitude integers. If two floating-point numbers have different signs, the sign-and-magnitude comparison also works with biased exponents. However, if both biased-exponent floating-point numbers are negative, then the ordering must be reversed. If the exponent were represented as, say, a 2's-complement number, comparison to see which of two numbers is greater would not be as convenient.

The leading 1 bit is omitted since all numbers except zero start with a leading 1; the leading 1 is implicit and doesn't actually need to be stored which gives an extra bit of precision for "free."

Zero

The number zero is represented specially:

sign = 0 for positive zero, 1 for negative zero.
biased exponent = 0.
fraction = 0.

Denormalized numbers

The number representations described above are called normalized, meaning that the implicit leading binary digit is a 1. To reduce the loss of precision when an underflow occurs, IEEE 754 includes the ability to represent fractions smaller than are possible in the normalized representation, by making the implicit leading digit a 0. Such numbers are called denormal. They don't include as many significant digits as a normalized number, but they enable a gradual loss of precision when the result of an arithmetic operation is not exactly zero but is too close to zero to be represented by a normalized number.

A denormal number is represented with a biased exponent of all 0 bits, which represents an exponent of −126 in single precision (not −127), or −1022 in double precision (not −1023).[1] In contrast, the smallest biased exponent representing a normal number is 1 (see examples below).

Representation of non-numbers

The biased-exponent field is filled with all 1 bits to indicate either infinity or an invalid result of a computation.

Positive and negative infinity

Positive and negative infinity are represented thus:

sign = 0 for positive infinity, 1 for negative infinity.
biased exponent = all 1 bits.
fraction = all 0 bits.

NaN

Some operations of floating-point arithmetic are invalid, such as dividing by zero or taking the square root of a negative number. The act of reaching an invalid result is called a floating-point exception. An exceptional result is represented by a special code called a NaN, for "Not a Number". All NaNs in IEEE 754-1985 have this format:

sign = either 0 or 1.
biased exponent = all 1 bits.
fraction = anything except all 0 bits (since all 0 bits represents infinity).

Range and precision

Precision is defined as the minimum difference between two successive mantissa representations; thus it is a function only in the mantissa; while the gap is defined as the difference between two successive numbers.[2]

Single precision

Single-precision numbers occupy 32 bits. In single precision:

  • The positive and negative numbers closest to zero (represented by the denormalized value with all 0s in the exponent field and the binary value 1 in the fraction field) are
    ±2−149 ≈ ±1.4012985Template:E
  • The positive and negative normalized numbers closest to zero (represented with the binary value 1 in the exponent field and 0 in the fraction field) are
    ±2−126 ≈ ±1.175494351Template:E
  • The finite positive and finite negative numbers furthest from zero (represented by the value with 254 in the exponent field and all 1s in the fraction field) are
    ±(1−2−24)×2128[3] ≈ ±3.402823466Template:E

Some example range and gap values for given exponents in single precision:

Actual Exponent (unbiased) Exp (biased) Minimum Maximum Gap
0 127 1 1.999999880791 1.19209289551e−7
1 128 2 3.99999976158 2.38418579102e−7
2 129 4 7.99999952316 4.76837158203e−7
10 137 1024 2047.99987793 1.220703125e−4
11 138 2048 4095.99975586 2.44140625e−4
23 150 8388608 16777215 1
24 151 16777216 33554430 2
127 254 1.7014e38 3.4028e38 2.02824096037e31

As an example, 16,777,217 can not be encoded as a 32-bit float as it will be rounded to 16,777,216. This shows why floating point arithmetic is unsuitable for accounting software. However, all integers within the representable range that are a power of 2 can be stored in a 32-bit float without rounding.

Double precision

Double-precision numbers occupy 64 bits. In double precision:

  • The positive and negative numbers closest to zero (represented by the denormalized value with all 0s in the Exp field and the binary value 1 in the Fraction field) are
    ±2−1074 ≈ ±5Template:E
  • The positive and negative normalized numbers closest to zero (represented with the binary value 1 in the Exp field and 0 in the fraction field) are
    ±2−1022 ≈ ±2.2250738585072014Template:E
  • The finite positive and finite negative numbers furthest from zero (represented by the value with 2046 in the Exp field and all 1s in the fraction field) are
    ±((1−(1/2)53)21024)[3] ≈ ±1.7976931348623157Template:E

Some example range and gap values for given exponents in double precision:

Actual Exponent (unbiased) Exp (biased) Minimum Maximum Gap
0 1023 1 1.9999999999999997 2.2204460492503130808472633e−16
1 1024 2 3.9999999999999995 8.8817841970012523233890533447266e−16
2 1025 4 7.9999999999999990 3.5527136788005009293556213378906e−15
10 1033 1024 2047.9999999999997 2.27373675443232059478759765625e−13
11 1034 2048 4095.9999999999995 4.5474735088646411895751953125e−13
52 1075 4503599627370496 9007199254740991 1
53 1076 9007199254740992 18014398509481982 2
1023 2046 8.9884656743115800e307 1.7976931348623157e308 1.9958403095347198116563727130368e292

Extended formats

The standard also recommends extended format(s) to be used to perform internal computations at a higher precision than that required for the final result, to minimise round-off errors: the standard only specifies minimum precision and exponent requirements for such formats. The x87 80-bit extended format is the most commonly implemented extended format that meets these requirements.

Examples

Here are some examples of single-precision IEEE 754 representations:

Type Sign Actual Exponent Exp (biased) Exponent field Significand (fraction field) Value
Zero 0 −127 0 0000 0000 000 0000 0000 0000 0000 0000 0.0
Negative zero 1 −127 0 0000 0000 000 0000 0000 0000 0000 0000 −0.0
One 0 0 127 0111 1111 000 0000 0000 0000 0000 0000 1.0
Minus One 1 0 127 0111 1111 000 0000 0000 0000 0000 0000 −1.0
Smallest denormalized number * −127 0 0000 0000 000 0000 0000 0000 0000 0001 ±2−23 × 2−126 = ±2−149 ≈ ±1.4Template:E
"Middle" denormalized number * −127 0 0000 0000 100 0000 0000 0000 0000 0000 ±2−1 × 2−126 = ±2−127 ≈ ±5.88Template:E
Largest denormalized number * −127 0 0000 0000 111 1111 1111 1111 1111 1111 ±(1−2−23) × 2−126 ≈ ±1.18Template:E
Smallest normalized number * −126 1 0000 0001 000 0000 0000 0000 0000 0000 ±2−126 ≈ ±1.18Template:E
Largest normalized number * 127 254 1111 1110 111 1111 1111 1111 1111 1111 ±(2−2−23) × 2127 ≈ ±3.4Template:E
Positive infinity 0 128 255 1111 1111 000 0000 0000 0000 0000 0000 +∞
Negative infinity 1 128 255 1111 1111 000 0000 0000 0000 0000 0000 −∞
Not a number * 128 255 1111 1111 non zero NaN
* Sign bit can be either 0 or 1 .

Comparing floating-point numbers

Every possible bit combination is either a NaN or a number with a unique value in the affinely extended real number system with its associated order, except for the two bit combinations negative zero and positive zero, which sometimes require special attention (see below). The binary representation has the special property that, excluding NaNs, any two numbers can be compared like sign and magnitude integers (although with modern computer processors this is no longer directly applicable): if the sign bit is different, the negative number precedes the positive number (except that negative zero and positive zero should be considered equal), otherwise, relative order is the same as lexicographical order but inverted for two negative numbers; endianness issues apply.

Floating-point arithmetic is subject to rounding that may affect the outcome of comparisons on the results of the computations.

Although negative zero and positive zero are generally considered equal for comparison purposes, some programming language relational operators and similar constructs might or do treat them as distinct. According to the Java Language Specification,[4] comparison and equality operators treat them as equal, but Math.min() and Math.max() distinguish them (officially starting with Java version 1.1 but actually with 1.1.1), as do the comparison methods equals(), compareTo() and even compare() of classes Float and Double.

Rounding floating-point numbers

The IEEE standard has four different rounding modes; the first is the default; the others are called directed roundings.

  • Round to Nearest – rounds to the nearest value; if the number falls midway it is rounded to the nearest value with an even (zero) least significant bit, which occurs 50% of the time (in IEEE 754-2008 this mode is called roundTiesToEven to distinguish it from another round-to-nearest mode)
  • Round toward 0 – directed rounding towards zero
  • Round toward +∞ – directed rounding towards positive infinity
  • Round toward −∞ – directed rounding towards negative infinity.

Extending the real numbers

The IEEE standard employs (and extends) the affinely extended real number system, with separate positive and negative infinities. During drafting, there was a proposal for the standard to incorporate the projectively extended real number system, with a single unsigned infinity, by providing programmers with a mode selection option. In the interest of reducing the complexity of the final standard, the projective mode was dropped, however. The Intel 8087 and Intel 80287 floating point co-processors both support this projective mode.[5][6][7]

Functions and predicates

Standard operations

The following functions must be provided:

  • Add, subtract, multiply, divide
  • Square root
  • Floating point remainder. This is not like a normal modulo operation, it can be negative for two positive numbers. It returns the exact value of Buying, selling and renting HDB and personal residential properties in Singapore are simple and transparent transactions. Although you are not required to engage a real property salesperson (generally often known as a "public listed property developers In singapore agent") to complete these property transactions, chances are you'll think about partaking one if you are not accustomed to the processes concerned.

    Professional agents are readily available once you need to discover an condominium for hire in singapore In some cases, landlords will take into account you more favourably in case your agent comes to them than for those who tried to method them by yourself. You need to be careful, nevertheless, as you resolve in your agent. Ensure that the agent you are contemplating working with is registered with the IEA – Institute of Estate Brokers. Whereas it might sound a hassle to you, will probably be worth it in the end. The IEA works by an ordinary algorithm and regulations, so you'll protect yourself in opposition to probably going with a rogue agent who prices you more than they should for his or her service in finding you an residence for lease in singapore.

    There isn't any deal too small. Property agents who are keen to find time for any deal even if the commission is small are the ones you want on your aspect. Additionally they present humbleness and might relate with the typical Singaporean higher. Relentlessly pursuing any deal, calling prospects even without being prompted. Even if they get rejected a hundred times, they still come again for more. These are the property brokers who will find consumers what they need eventually, and who would be the most successful in what they do. 4. Honesty and Integrity

    This feature is suitable for you who need to get the tax deductions out of your PIC scheme to your property agency firm. It's endorsed that you visit the correct site for filling this tax return software. This utility must be submitted at the very least yearly to report your whole tax and tax return that you're going to receive in the current accounting 12 months. There may be an official website for this tax filling procedure. Filling this tax return software shouldn't be a tough thing to do for all business homeowners in Singapore.

    A wholly owned subsidiary of SLP Worldwide, SLP Realty houses 900 associates to service SLP's fast rising portfolio of residential tasks. Real estate is a human-centric trade. Apart from offering comprehensive coaching applications for our associates, SLP Realty puts equal emphasis on creating human capabilities and creating sturdy teamwork throughout all ranges of our organisational hierarchy. Worldwide Presence At SLP International, our staff of execs is pushed to make sure our shoppers meet their enterprise and investment targets. Under is an inventory of some notable shoppers from completely different industries and markets, who've entrusted their real estate must the expertise of SLP Worldwide.

    If you're looking for a real estate or Singapore property agent online, you merely need to belief your instinct. It is because you don't know which agent is sweet and which agent will not be. Carry out research on a number of brokers by looking out the internet. As soon as if you find yourself certain that a selected agent is dependable and trustworthy, you'll be able to choose to utilize his partnerise find you a house in Singapore. More often than not, a property agent is considered to be good if she or he places the contact data on his web site. This is able to imply that the agent does not thoughts you calling them and asking them any questions regarding properties in Singapore. After chatting with them you too can see them of their office after taking an appointment.

    Another method by way of which you could find out whether the agent is sweet is by checking the feedback, of the shoppers, on the website. There are various individuals would publish their comments on the web site of the Singapore property agent. You can take a look at these feedback and the see whether it will be clever to hire that specific Singapore property agent. You may even get in contact with the developer immediately. Many Singapore property brokers know the developers and you may confirm the goodwill of the agent by asking the developer..
  • Round to nearest integer. For undirected rounding when halfway between two integers the even integer is chosen.
  • Comparison operations. Besides the more obvious results, IEEE 754 defines that −∞ = −∞, +∞ = +∞ and x ≠ NaN for any x (including NaN).

Recommended functions and predicates

  • Under some C compilers, copysign(x,y) returns x with the sign of y, so abs(x) equals copysign(x,1.0). This is one of the few operations which operates on a NaN in a way resembling arithmetic. The function copysign is new in the C99 standard.
  • −x returns x with the sign reversed. This is different from 0−x in some cases, notably when x is 0. So −(0) is −0, but the sign of 0−0 depends on the rounding mode.
  • scalb(y, N)
  • logb(x)
  • finite(x) a predicate for "x is a finite value", equivalent to −Inf < x < Inf
  • isnan(x) a predicate for "x is a NaN", equivalent to "x ≠ x"
  • x <> y which turns out to have different exception behavior than NOT(x = y).
  • unordered(x, y) is true when "x is unordered with y", i.e., either x or y is a NaN.
  • class(x)
  • nextafter(x,y) returns the next representable value from x in the direction towards y

History

In 1976 Intel began planning to produce a floating point coprocessor. Dr John Palmer, the manager of the effort, persuaded them that they should try to develop a standard for all their floating point operations. William Kahan was hired as a consultant; he had helped improve the accuracy of Hewlett Packard's calculators. Kahan initially recommended that the floating point base be decimal[8] but the hardware design of the coprocessor was too far advanced to make that change.

The work within Intel worried other vendors, who set up a standardization effort to ensure a 'level playing field'. Kahan attended the second IEEE 754 standards working group meeting, held in November 1977. Here, he received permission from Intel to put forward a draft proposal based on the standard arithmetic part of their design for a coprocessor. The arguments over gradual underflow lasted until 1981 when an expert commissioned by DEC to assess it sided against the dissenters.

Even before it was approved, the draft standard had been implemented by a number of manufacturers.[9][10] The Intel 8087, which was announced in 1980, was the first chip to implement the draft standard.

See also

References

43 year old Petroleum Engineer Harry from Deep River, usually spends time with hobbies and interests like renting movies, property developers in singapore new condominium and vehicle racing. Constantly enjoys going to destinations like Camino Real de Tierra Adentro.

Further reading

  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  • One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang: A compendium of non-intuitive behaviours of floating-point on popular architectures, with implications for program verification and testing.

External links

Template:IEEE standards

  1. 20 year-old Real Estate Agent Rusty from Saint-Paul, has hobbies and interests which includes monopoly, property developers in singapore and poker. Will soon undertake a contiki trip that may include going to the Lower Valley of the Omo.

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  2. Computer Arithmetic; Hossam A. H. Fahmy, Shlomo Waser, and Michael J. Flynn; http://arith.stanford.edu/~hfahmy/webpages/arith_class/arith.pdf
  3. 3.0 3.1 One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  4. The Java Language Specification
  5. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  6. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  7. One of the biggest reasons investing in a Singapore new launch is an effective things is as a result of it is doable to be lent massive quantities of money at very low interest rates that you should utilize to purchase it. Then, if property values continue to go up, then you'll get a really high return on funding (ROI). Simply make sure you purchase one of the higher properties, reminiscent of the ones at Fernvale the Riverbank or any Singapore landed property Get Earnings by means of Renting

    In its statement, the singapore property listing - website link, government claimed that the majority citizens buying their first residence won't be hurt by the new measures. Some concessions can even be prolonged to chose teams of consumers, similar to married couples with a minimum of one Singaporean partner who are purchasing their second property so long as they intend to promote their first residential property. Lower the LTV limit on housing loans granted by monetary establishments regulated by MAS from 70% to 60% for property purchasers who are individuals with a number of outstanding housing loans on the time of the brand new housing purchase. Singapore Property Measures - 30 August 2010 The most popular seek for the number of bedrooms in Singapore is 4, followed by 2 and three. Lush Acres EC @ Sengkang

    Discover out more about real estate funding in the area, together with info on international funding incentives and property possession. Many Singaporeans have been investing in property across the causeway in recent years, attracted by comparatively low prices. However, those who need to exit their investments quickly are likely to face significant challenges when trying to sell their property – and could finally be stuck with a property they can't sell. Career improvement programmes, in-house valuation, auctions and administrative help, venture advertising and marketing, skilled talks and traisning are continuously planned for the sales associates to help them obtain better outcomes for his or her shoppers while at Knight Frank Singapore. No change Present Rules

    Extending the tax exemption would help. The exemption, which may be as a lot as $2 million per family, covers individuals who negotiate a principal reduction on their existing mortgage, sell their house short (i.e., for lower than the excellent loans), or take part in a foreclosure course of. An extension of theexemption would seem like a common-sense means to assist stabilize the housing market, but the political turmoil around the fiscal-cliff negotiations means widespread sense could not win out. Home Minority Chief Nancy Pelosi (D-Calif.) believes that the mortgage relief provision will be on the table during the grand-cut price talks, in response to communications director Nadeam Elshami. Buying or promoting of blue mild bulbs is unlawful.

    A vendor's stamp duty has been launched on industrial property for the primary time, at rates ranging from 5 per cent to 15 per cent. The Authorities might be trying to reassure the market that they aren't in opposition to foreigners and PRs investing in Singapore's property market. They imposed these measures because of extenuating components available in the market." The sale of new dual-key EC models will even be restricted to multi-generational households only. The models have two separate entrances, permitting grandparents, for example, to dwell separately. The vendor's stamp obligation takes effect right this moment and applies to industrial property and plots which might be offered inside three years of the date of buy. JLL named Best Performing Property Brand for second year running

    The data offered is for normal info purposes only and isn't supposed to be personalised investment or monetary advice. Motley Fool Singapore contributor Stanley Lim would not personal shares in any corporations talked about. Singapore private home costs increased by 1.eight% within the fourth quarter of 2012, up from 0.6% within the earlier quarter. Resale prices of government-built HDB residences which are usually bought by Singaporeans, elevated by 2.5%, quarter on quarter, the quickest acquire in five quarters. And industrial property, prices are actually double the levels of three years ago. No withholding tax in the event you sell your property. All your local information regarding vital HDB policies, condominium launches, land growth, commercial property and more

    There are various methods to go about discovering the precise property. Some local newspapers (together with the Straits Instances ) have categorised property sections and many local property brokers have websites. Now there are some specifics to consider when buying a 'new launch' rental. Intended use of the unit Every sale begins with 10 p.c low cost for finish of season sale; changes to 20 % discount storewide; follows by additional reduction of fiftyand ends with last discount of 70 % or extra. Typically there is even a warehouse sale or transferring out sale with huge mark-down of costs for stock clearance. Deborah Regulation from Expat Realtor shares her property market update, plus prime rental residences and houses at the moment available to lease Esparina EC @ Sengkang
  8. W. Kahan 2003, pers. comm. to Mike Cowlishaw and others after an IEEE 754 meeting
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