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[[Image:Delaunay_circumcircles_vectorial.svg|right|thumb|280px|A Delaunay triangulation in the plane with circumcircles shown]]
In [[mathematics]] and [[computational geometry]],  a '''Delaunay triangulation''' for a set '''P''' of points in a plane is a [[triangulation (geometry)|triangulation]] DT('''P''') such that no point in '''P''' is inside the [[Circumcircle#Triangles|circumcircle]] of any [[triangle]] in DT('''P'''). Delaunay triangulations maximize the minimum angle of all the angles of the triangles in the triangulation; they tend to avoid skinny triangles. The triangulation is named after [[Boris Delaunay]] for his work on this topic from 1934.<ref name="Delaunay1934">B. Delaunay: ''[http://mi.mathnet.ru/eng/izv4937 Sur la sphère vide], Izvestia Akademii Nauk SSSR, Otdelenie Matematicheskikh i Estestvennykh Nauk, 7:793–800, 1934''</ref>


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For a set of points on the same line there is no Delaunay triangulation (the notion of  triangulation is degenerate for this case). For four or more points on the same circle (e.g., the vertices of a rectangle) the Delaunay triangulation is not unique: each of the two possible triangulations that split the quadrangle into two triangles satisfies the "Delaunay condition", i.e., the requirement that the circumcircles of all triangles have empty interiors.


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By considering circumscribed spheres, the notion of Delaunay triangulation extends to three and higher dimensions.  Generalizations are possible to metrics other than Euclidean. However in these cases a Delaunay triangulation is not guaranteed to exist or be unique.


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==Relationship with the Voronoi diagram==


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The Delaunay [[triangulation (geometry)|triangulation]] of a [[discrete space|discrete]] point set '''P''' in [[general position]] corresponds to the [[dual graph]] of the [[Voronoi diagram]] for '''P'''. Special cases include the existence of three points on a line and four points on circle.
<gallery>
File:Delaunay_circumcircles_centers.svg|The Delaunay triangulation with all the circumcircles and their centers (in red).
Image:Delaunay_Voronoi.svg|Connecting the centers of the circumcircles produces the [[Voronoi diagram]] (in red).
</gallery>
<!-- Is the reader expected to use a microscope to read this article?  Can some people see these circles without looking for them?  (Rhetorical question.  Obviously not.) -->


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== ''d''-dimensional Delaunay ==
For a set '''P''' of points in the (''d''-dimensional) [[Euclidean space]], a '''Delaunay triangulation''' is a [[Triangulation (geometry)|triangulation]] DT('''P''') such that no point in '''P''' is inside the [[circumcircle|circum-hypersphere]] of any [[simplex]] in DT('''P''').  It is known<ref name="deBerg"/> that there exists a unique Delaunay triangulation for '''P''', if '''P''' is a set of points in ''[[general position]]''; that is, there exists no [[flat (geometry)|''k''-flat]] containing ''k''&nbsp;+&nbsp;2 points nor a [[n-sphere|''k''-sphere]] containing ''k''&nbsp;+&nbsp;3 points, for 1&nbsp;≤&nbsp;''k''&nbsp;≤&nbsp;''d''&nbsp;&minus;&nbsp;1 (e.g., for a set of points in <big>ℝ</big><sup>3</sup>; no three points are on a line, no four on a plane, no four are on a circle, and no five on a sphere).
 
The problem of finding the Delaunay triangulation of a set of points in ''d''-dimensional Euclidean space can be converted to the problem of finding the [[convex hull]] of a set of points in (''d''&nbsp;+&nbsp;1)-dimensional space, by giving each point ''p'' an extra coordinate equal to |''p''|<sup>2</sup>, taking the bottom side of the convex hull, and mapping back to ''d''-dimensional space by deleting the last coordinate. As the convex hull is unique, so is the triangulation, assuming all facets of the convex hull are [[simplex|simplices]]. Nonsimplicial facets only occur when ''d''&nbsp;+&nbsp;2 of the original points lie on the same ''d''-[[hypersphere]], i.e., the points are not in general position.
 
==Properties==
[[File:Example steps in Delauney triangularization.png|thumb|Example steps]]
Let ''n'' be the number of points and ''d'' the number of dimensions.
 
*The union of all simplices in the triangulation is the convex hull of the points.
*The Delaunay triangulation contains ''O''(''n''<sup>⌈''d''&nbsp;/&nbsp;2⌉</sup>) simplices.<ref>{{cite journal
  | last = Seidel
  | first = R.
  | title = The upper bound theorem for polytopes: an easy proof of its asymptotic version
  | journal = Computational Geometry
  | volume = 5
  | pages = 115–116
  | year = 1995
  | url = http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6TYS-3YVD096-C&_user=108429&_coverDate=09%2F30%2F1995&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000059713&_version=1&_urlVersion=0&_userid=108429&md5=70a4159a39ed8ab2c6709025aa77d5de&searchtype=a
  | doi = 10.1016/0925-7721(95)00013-Y
  | issue = 2 }}</ref>
*In the plane (''d'' = 2), if there are ''b'' vertices on the convex hull, then any triangulation of the points has at most 2''n''&nbsp;&minus;&nbsp;2&nbsp;&minus;&nbsp;''b'' triangles, plus one exterior face (see [[Euler characteristic]]).
*In the plane, each vertex has on average six surrounding triangles.
*In the plane, the Delaunay triangulation maximizes the minimum angle. Compared to any other triangulation of the points, the smallest angle in the Delaunay triangulation is at least as large as the smallest angle in any other.  However, the Delaunay triangulation does not necessarily minimize the maximum angle.<ref>{{citation
| last1 = Edelsbrunner | first1 = Herbert | author1-link = Herbert Edelsbrunner
| last2 = Tan | first2 = Tiow Seng
| last3 = Waupotitsch | first3 = Roman
| doi = 10.1137/0913058
| issue = 4
| journal = SIAM Journal on Scientific and Statistical Computing
| mr = 1166172
| pages = 994–1008
| title = An ''O''(''n''<sup>2</sup>&nbsp;log&nbsp;''n'') time algorithm for the minmax angle triangulation
| volume = 13
| year = 1992}}.</ref>
*A circle circumscribing any Delaunay triangle does not contain any other input points in its interior.
*If a circle passing through two of the input points doesn't contain any other of them in its interior, then the segment connecting the two points is an edge of a Delaunay triangulation of the given points.
* Each triangle of the Delaunay triangulation of a set of points in ''d''-dimensional spaces corresponds to a facet of [[convex hull]] of the projection of the points onto a (''d''&nbsp;+&nbsp;1)-dimensional [[paraboloid]], and vice versa.
* The closest neighbor ''b'' to any point ''p'' is on an edge ''bp'' in the Delaunay triangulation since the [[nearest neighbor graph]] is a subgraph of the Delaunay triangulation.
* The Delaunay triangulation is a [[geometric spanner]]: the shortest path between two vertices, along Delaunay edges, is known to be no longer than <math>\frac{4\pi}{3\sqrt{3}} \approx 2.418</math> times the Euclidean distance between them.
 
== Visual Delaunay definition: Flipping ==
From the above properties an important feature arises: Looking at two triangles ABD and BCD with the common edge BD (see figures), if the sum of the angles α and γ is less than or equal to 180°, the triangles meet the Delaunay condition.
 
This is an important property because it allows the use of a ''flipping'' technique. If two triangles do not meet the Delaunay condition, switching the common edge BD for the common edge AC produces two triangles that do meet the Delaunay condition:
 
<gallery>
  Image:Delaunay_geometry.png|This triangulation does not meet the Delaunay condition (the sum of α and γ is bigger than 180°).
  Image:Delaunay_before_flip.png|This triangulation does not meet the Delaunay condition (the circumcircles contain more than three points).
  Image:Delaunay_after_flip.png|''Flipping'' the common edge produces a Delaunay triangulation for the four points.
</gallery>
 
==Algorithms==
Many algorithms for computing Delaunay triangulations rely on fast operations for detecting when a point is within a triangle's circumcircle and an efficient data structure for storing triangles and edges.  In two dimensions, one way to detect if point ''D'' lies in the circumcircle of ''A'', ''B'', ''C'' is to evaluate the [[determinant]]:<ref>{{cite web| author=Guibas, Lenoidas | coauthors= Stolfi, Jorge |url = http://portal.acm.org/citation.cfm?id=282923 | title = Primitives for the manipulation of general subdivisions and the computation of Voronoi| publisher = ACM | page=107 | date = 1985-04-01| accessdate = 2009-08-01}}</ref>
 
: <math>\begin{vmatrix}
A_x & A_y & A_x^2 + A_y^2 & 1\\
B_x & B_y & B_x^2 + B_y^2 & 1\\
C_x & C_y & C_x^2 + C_y^2 & 1\\
D_x & D_y & D_x^2 + D_y^2 & 1
\end{vmatrix} = \begin{vmatrix}
A_x - D_x & A_y - D_y & (A_x^2 - D_x^2) + (A_y^2 - D_y^2) \\
B_x - D_x & B_y - D_y & (B_x^2 - D_x^2) + (B_y^2 - D_y^2) \\
C_x - D_x & C_y - D_y & (C_x^2 - D_x^2) + (C_y^2 - D_y^2)
\end{vmatrix} > 0
</math>
 
When ''A'', ''B'' and ''C'' are sorted in a [[counterclockwise]] order, this determinant is positive if and only if ''D'' lies inside the circumcircle.
 
===Flip algorithms===
As mentioned above, if a triangle is non-Delaunay, we can flip one of its edges.  This leads to a straightforward algorithm: construct any triangulation of the points, and then flip edges until no triangle is non-Delaunay. Unfortunately, this can take O(''n''<sup>2</sup>) edge flips, and does not extend to three dimensions or higher.<ref name="deBerg">{{cite book
  | last = de Berg
  | first = Mark
  | authorlink =
  | coauthors = Otfried Cheong, Marc van Kreveld, Mark Overmars
  | title = Computational Geometry: Algorithms and Applications
  | publisher = Springer-Verlag
  | year = 2008
  | id =
  | url = http://www.cs.uu.nl/geobook/interpolation.pdf
  | isbn = 978-3-540-77973-5 }}</ref>
 
===Incremental===
The most straightforward way of efficiently computing the Delaunay triangulation is to repeatedly add one vertex at a time, retriangulating the affected parts of the graph. When a vertex ''v'' is added, we split in three the triangle that contains ''v'', then we apply the flip algorithm.  Done naively, this will take O(''n'') time: we search through all the triangles to find the one that contains ''v'', then we potentially flip away every triangle.  Then the overall runtime is O(''n''<sup>2</sup>).
 
If we insert vertices in random order, it turns out (by a somewhat intricate proof) that each insertion will flip, on average, only O(1) triangles – although sometimes it will flip many more.<ref>{{cite journal
  | last = Guibas
  | first = L.
  | coauthors = D. Knuth; M. Sharir
  | title = Randomized incremental construction of Delaunay and Voronoi diagrams
  | journal = Algorithmica
  | volume = 7
  | pages = 381–413
  | year = 1992
  | url = http://www.springerlink.com/content/p8377h68j82l6860
  | doi = 10.1007/BF01758770}}</ref>
This still leaves the point location time to improve. We can store the history of the splits and flips performed: each triangle stores a pointer to the two or three triangles that replaced it. To find the triangle that contains ''v'', we start at a root triangle, and follow the pointer that points to a triangle that contains ''v'', until we find a triangle that has not yet been replaced.  On average, this will also take O(log ''n'') time.  Over all vertices, then, this takes O(''n'' log ''n'') time.<ref name="deBerg"/>  While the technique extends to higher dimension (as proved by Edelsbrunner and Shah<ref>{{cite journal
  | last = Edelsbrunner
  | first = Herbert
  | authorlink = Herbert Edelsbrunner
  | coauthors = Nimish Shah
  | title = Incremental Topological Flipping Works for Regular Triangulations
  | journal = Algorithmica
  | volume = 15
  | pages = 223–241
  | year = 1996
  | url = http://www.springerlink.com/content/4gdja72vx1qmg44x/?p=a74909a339d9498cbff326f08b084b4c&pi=1
  | doi = 10.1007/BF01975867
  | issue = 3}}</ref>), the runtime can be exponential in the dimension even if the final Delaunay triangulation is small.
 
The [[Bowyer–Watson algorithm]] provides another approach for incremental construction. It gives an alternative to edge flipping for computing the Delaunay triangles containing a newly inserted vertex.
 
===Divide and conquer===
A [[divide and conquer algorithm]] for triangulations in two dimensions is due to Lee and Schachter which was improved by [[Leonidas J. Guibas|Guibas]] and [[Jorge Stolfi|Stolfi]]<ref>[http://www.geom.uiuc.edu/~samuelp/del_project.html Computing Constrained Delaunay Triangulations]</ref> and later by Dwyer.  In this algorithm, one recursively draws a line to split the vertices into two sets. The Delaunay triangulation is computed for each set, and then the two sets are merged along the splitting line. Using some clever tricks, the merge operation can be done in time O(''n''), so the total running time is O(''n''&nbsp;log&nbsp;''n'').<ref name="Leach1992">{{cite paper | first = G. | last = Leach | title = ''Improving Worst-Case Optimal Delaunay Triangulation Algorithms.'' | id = {{citeseerx|10.1.1.56.2323}} | month = June | year = 1992 }}</ref>
 
For certain types of point sets, such as a uniform random distribution, by intelligently picking the splitting lines the expected time can be reduced to O(''n''&nbsp;log&nbsp;log&nbsp;''n'') while still maintaining worst-case performance.
 
A divide and conquer paradigm to performing a triangulation in ''d'' dimensions is presented in "DeWall: A fast divide and conquer Delaunay triangulation algorithm in E<sup>''d''</sup>" by P. Cignoni, C. Montani, R. Scopigno.<ref>{{cite journal | last = Cignoni | first = P. | coauthors = C. Montani; R. Scopigno | year = 1998 | title = DeWall: A fast divide and conquer Delaunay triangulation algorithm in E<sup>d</sup> | journal = Computer-Aided Design | volume = 30 | issue = 5 | pages = 333–341 | doi = 10.1016/S0010-4485(97)00082-1 }}</ref>
 
Divide and conquer has been shown to be the fastest DT generation technique.<ref>A Comparison of Sequential Delaunay Triangulation Algorithms http://www.cs.berkeley.edu/~jrs/meshpapers/SuDrysdale.pdf</ref><ref>http://www.cs.cmu.edu/~quake/tripaper/triangle2.html</ref>
 
===Sweepline===
[[Fortune's Algorithm]] uses a [[sweepline]] technique to achieve O(''n''&nbsp;log&nbsp;''n'') runtime in the planar case.
 
===Sweephull===
 
Sweephull<ref>[http://www.s-hull.org/paper/s_hull.pdf S-hull]</ref> is a hybrid technique for 2D Delaunay triangulation that uses a radially propagating sweep-hull (sequentially created from
the radially sorted set of 2D points, giving a non-overlapping triangulation), paired with a final iterative triangle flipping step.
An accurate integer arithmetic variant of the algorithm is also presented.
 
== Applications ==
The [[Euclidean minimum spanning tree]] of a set of points is a subset of the Delaunay triangulation of the same points, and this can be exploited to compute it efficiently.
 
For modelling terrain or other objects given a set of sample points, the Delaunay triangulation gives a nice set of triangles to use as polygons in the model.  In particular, the Delaunay triangulation avoids narrow triangles (as they have large circumcircles compared to their area). See [[triangulated irregular network]].
 
Delaunay triangulations can be used to determine the density or intensity of points samplings by means of the [[Delaunay tessellation field estimator|DTFE]].
 
[[Image:Delaunay Triangulation (100 Points).svg|right|thumb|250px|The Delaunay triangulation of a random set of 100 points in a plane.]]
Delaunay triangulations are often used to build meshes for space-discretised solvers such as the [[finite element method]] and the [[finite volume method]] of physics simulation, because of the angle guarantee and because fast triangulation algorithms have been developed. Typically, the domain to be meshed is specified as a coarse [[simplicial complex]]; for the mesh to be numerically stable, it must be refined, for instance by using [[Ruppert's algorithm]].
 
The increasing popularity of [[finite element method]] and [[boundary element method]] techniques increases the incentive to improve automatic meshing algorithms. However, all of these algorithms can create distorted and even unusable grid elements. Fortunately, several techniques exist which can take an existing mesh and improve its quality. For example, smoothing (also referred to as mesh refinement) is one such method, which repositions nodal locations so as to minimize element distortion. The [[stretched grid method]] allows the generation of pseudo-regular meshes that meet the Delaunay criteria easily and quickly in a one-step solution.
 
== See also ==
* [[Beta skeleton]]
* [[Constrained Delaunay triangulation]]
* [[Delaunay tessellation field estimator]]
* [[Gabriel graph]]
* [[Gradient pattern analysis]]
* [[Pitteway triangulation]]
* [[Urquhart graph]]
* [[Voronoi diagram]]
* [[Convex hull algorithms]]
* [[Quasitriangulation]]
 
== References ==
{{reflist}}
 
== External links ==
* Delaunay triangulation in [[CGAL]], the Computational Geometry Algorithms Library:
** {{cite web
| last = Yvinec | first = Mariette
| title = 2D Triangulation
| url = http://www.cgal.org/Pkg/Triangulation2
| accessdate = April 2010
}}
** {{cite web
| last1 = Pion | first1 = Sylvain
| last2 = Teillaud | first2 = Monique
| title = 3D Triangulations
| url = http://www.cgal.org/Pkg/Triangulation3
| accessdate = April 2010
}}
** {{cite web
| last1 = Hert | first = Susan
| last2 = Seel | first2 = Michael
| title = dD Convex Hulls and Delaunay Triangulations
| url = http://www.cgal.org/Pkg/ConvexHullD
| accessdate = April 2010
}}
* {{cite web
| title = Delaunay triangulation
| publisher = Wolfram MathWorld
| url = http://mathworld.wolfram.com/DelaunayTriangulation.html
| accessdate = April 2010
}}
* {{cite web
| title = Qhull
| url = http://www.qhull.org
| accessdate = April 2010
}} &mdash; Code for Convex Hull, Delaunay Triangulation, Voronoi Diagram, and Halfspace Intersection
* {{cite web
| last = Shewchuk | first = Jonathan Richard
| title = Triangle
| url = http://www.cs.cmu.edu/~quake/triangle.html
| accessdate = April 2010
}} – A Two-Dimensional Quality Mesh Generator and Delaunay Triangulator
* {{cite web
| last1 = Kumar | first1 = Piyush
| last2 = Mohanty | first2 = Somya
| title = Triangle++
| url = http://www.compgeom.com/~piyush/scripts/triangle/
}} – A C++ wrapper on Triangle
* {{cite web
| title = Poly2Tri
| url = http://code.google.com/p/poly2tri/
| publisher = Google Code
| accessdate = April 2010
}} – A sweepline Constrained Delaunay Triangulation (CDT) library, available in ActionScript 3, C, C++, C#, Go, Haxe, Java, Javascript, Python and Ruby
 
{{DEFAULTSORT:Delaunay Triangulation}}
[[Category:Triangulation (geometry)]]

Revision as of 16:11, 28 January 2014

A Delaunay triangulation in the plane with circumcircles shown

In mathematics and computational geometry, a Delaunay triangulation for a set P of points in a plane is a triangulation DT(P) such that no point in P is inside the circumcircle of any triangle in DT(P). Delaunay triangulations maximize the minimum angle of all the angles of the triangles in the triangulation; they tend to avoid skinny triangles. The triangulation is named after Boris Delaunay for his work on this topic from 1934.[1]

For a set of points on the same line there is no Delaunay triangulation (the notion of triangulation is degenerate for this case). For four or more points on the same circle (e.g., the vertices of a rectangle) the Delaunay triangulation is not unique: each of the two possible triangulations that split the quadrangle into two triangles satisfies the "Delaunay condition", i.e., the requirement that the circumcircles of all triangles have empty interiors.

By considering circumscribed spheres, the notion of Delaunay triangulation extends to three and higher dimensions. Generalizations are possible to metrics other than Euclidean. However in these cases a Delaunay triangulation is not guaranteed to exist or be unique.

Relationship with the Voronoi diagram

The Delaunay triangulation of a discrete point set P in general position corresponds to the dual graph of the Voronoi diagram for P. Special cases include the existence of three points on a line and four points on circle.

d-dimensional Delaunay

For a set P of points in the (d-dimensional) Euclidean space, a Delaunay triangulation is a triangulation DT(P) such that no point in P is inside the circum-hypersphere of any simplex in DT(P). It is known[2] that there exists a unique Delaunay triangulation for P, if P is a set of points in general position; that is, there exists no k-flat containing k + 2 points nor a k-sphere containing k + 3 points, for 1 ≤ k ≤ d − 1 (e.g., for a set of points in 3; no three points are on a line, no four on a plane, no four are on a circle, and no five on a sphere).

The problem of finding the Delaunay triangulation of a set of points in d-dimensional Euclidean space can be converted to the problem of finding the convex hull of a set of points in (d + 1)-dimensional space, by giving each point p an extra coordinate equal to |p|2, taking the bottom side of the convex hull, and mapping back to d-dimensional space by deleting the last coordinate. As the convex hull is unique, so is the triangulation, assuming all facets of the convex hull are simplices. Nonsimplicial facets only occur when d + 2 of the original points lie on the same d-hypersphere, i.e., the points are not in general position.

Properties

Example steps

Let n be the number of points and d the number of dimensions.

  • The union of all simplices in the triangulation is the convex hull of the points.
  • The Delaunay triangulation contains O(nd / 2⌉) simplices.[3]
  • In the plane (d = 2), if there are b vertices on the convex hull, then any triangulation of the points has at most 2n − 2 − b triangles, plus one exterior face (see Euler characteristic).
  • In the plane, each vertex has on average six surrounding triangles.
  • In the plane, the Delaunay triangulation maximizes the minimum angle. Compared to any other triangulation of the points, the smallest angle in the Delaunay triangulation is at least as large as the smallest angle in any other. However, the Delaunay triangulation does not necessarily minimize the maximum angle.[4]
  • A circle circumscribing any Delaunay triangle does not contain any other input points in its interior.
  • If a circle passing through two of the input points doesn't contain any other of them in its interior, then the segment connecting the two points is an edge of a Delaunay triangulation of the given points.
  • Each triangle of the Delaunay triangulation of a set of points in d-dimensional spaces corresponds to a facet of convex hull of the projection of the points onto a (d + 1)-dimensional paraboloid, and vice versa.
  • The closest neighbor b to any point p is on an edge bp in the Delaunay triangulation since the nearest neighbor graph is a subgraph of the Delaunay triangulation.
  • The Delaunay triangulation is a geometric spanner: the shortest path between two vertices, along Delaunay edges, is known to be no longer than times the Euclidean distance between them.

Visual Delaunay definition: Flipping

From the above properties an important feature arises: Looking at two triangles ABD and BCD with the common edge BD (see figures), if the sum of the angles α and γ is less than or equal to 180°, the triangles meet the Delaunay condition.

This is an important property because it allows the use of a flipping technique. If two triangles do not meet the Delaunay condition, switching the common edge BD for the common edge AC produces two triangles that do meet the Delaunay condition:

Algorithms

Many algorithms for computing Delaunay triangulations rely on fast operations for detecting when a point is within a triangle's circumcircle and an efficient data structure for storing triangles and edges. In two dimensions, one way to detect if point D lies in the circumcircle of A, B, C is to evaluate the determinant:[5]

When A, B and C are sorted in a counterclockwise order, this determinant is positive if and only if D lies inside the circumcircle.

Flip algorithms

As mentioned above, if a triangle is non-Delaunay, we can flip one of its edges. This leads to a straightforward algorithm: construct any triangulation of the points, and then flip edges until no triangle is non-Delaunay. Unfortunately, this can take O(n2) edge flips, and does not extend to three dimensions or higher.[2]

Incremental

The most straightforward way of efficiently computing the Delaunay triangulation is to repeatedly add one vertex at a time, retriangulating the affected parts of the graph. When a vertex v is added, we split in three the triangle that contains v, then we apply the flip algorithm. Done naively, this will take O(n) time: we search through all the triangles to find the one that contains v, then we potentially flip away every triangle. Then the overall runtime is O(n2).

If we insert vertices in random order, it turns out (by a somewhat intricate proof) that each insertion will flip, on average, only O(1) triangles – although sometimes it will flip many more.[6] This still leaves the point location time to improve. We can store the history of the splits and flips performed: each triangle stores a pointer to the two or three triangles that replaced it. To find the triangle that contains v, we start at a root triangle, and follow the pointer that points to a triangle that contains v, until we find a triangle that has not yet been replaced. On average, this will also take O(log n) time. Over all vertices, then, this takes O(n log n) time.[2] While the technique extends to higher dimension (as proved by Edelsbrunner and Shah[7]), the runtime can be exponential in the dimension even if the final Delaunay triangulation is small.

The Bowyer–Watson algorithm provides another approach for incremental construction. It gives an alternative to edge flipping for computing the Delaunay triangles containing a newly inserted vertex.

Divide and conquer

A divide and conquer algorithm for triangulations in two dimensions is due to Lee and Schachter which was improved by Guibas and Stolfi[8] and later by Dwyer. In this algorithm, one recursively draws a line to split the vertices into two sets. The Delaunay triangulation is computed for each set, and then the two sets are merged along the splitting line. Using some clever tricks, the merge operation can be done in time O(n), so the total running time is O(n log n).[9]

For certain types of point sets, such as a uniform random distribution, by intelligently picking the splitting lines the expected time can be reduced to O(n log log n) while still maintaining worst-case performance.

A divide and conquer paradigm to performing a triangulation in d dimensions is presented in "DeWall: A fast divide and conquer Delaunay triangulation algorithm in Ed" by P. Cignoni, C. Montani, R. Scopigno.[10]

Divide and conquer has been shown to be the fastest DT generation technique.[11][12]

Sweepline

Fortune's Algorithm uses a sweepline technique to achieve O(n log n) runtime in the planar case.

Sweephull

Sweephull[13] is a hybrid technique for 2D Delaunay triangulation that uses a radially propagating sweep-hull (sequentially created from the radially sorted set of 2D points, giving a non-overlapping triangulation), paired with a final iterative triangle flipping step. An accurate integer arithmetic variant of the algorithm is also presented.

Applications

The Euclidean minimum spanning tree of a set of points is a subset of the Delaunay triangulation of the same points, and this can be exploited to compute it efficiently.

For modelling terrain or other objects given a set of sample points, the Delaunay triangulation gives a nice set of triangles to use as polygons in the model. In particular, the Delaunay triangulation avoids narrow triangles (as they have large circumcircles compared to their area). See triangulated irregular network.

Delaunay triangulations can be used to determine the density or intensity of points samplings by means of the DTFE.

The Delaunay triangulation of a random set of 100 points in a plane.

Delaunay triangulations are often used to build meshes for space-discretised solvers such as the finite element method and the finite volume method of physics simulation, because of the angle guarantee and because fast triangulation algorithms have been developed. Typically, the domain to be meshed is specified as a coarse simplicial complex; for the mesh to be numerically stable, it must be refined, for instance by using Ruppert's algorithm.

The increasing popularity of finite element method and boundary element method techniques increases the incentive to improve automatic meshing algorithms. However, all of these algorithms can create distorted and even unusable grid elements. Fortunately, several techniques exist which can take an existing mesh and improve its quality. For example, smoothing (also referred to as mesh refinement) is one such method, which repositions nodal locations so as to minimize element distortion. The stretched grid method allows the generation of pseudo-regular meshes that meet the Delaunay criteria easily and quickly in a one-step solution.

See also

References

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External links

  1. B. Delaunay: Sur la sphère vide, Izvestia Akademii Nauk SSSR, Otdelenie Matematicheskikh i Estestvennykh Nauk, 7:793–800, 1934
  2. 2.0 2.1 2.2 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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  5. Template:Cite web
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    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

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  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. Computing Constrained Delaunay Triangulations
  9. Template:Cite paper
  10. 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
  11. A Comparison of Sequential Delaunay Triangulation Algorithms http://www.cs.berkeley.edu/~jrs/meshpapers/SuDrysdale.pdf
  12. http://www.cs.cmu.edu/~quake/tripaper/triangle2.html
  13. S-hull