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1
Mod-01 Lec-01 Introduction
2
Mod-01 Lec-02 Visibility Problems
3
Mod-02 Lec-03 2D Maxima
4
Mod-03 Lec-04 Line Sweep Method
5
Mod-03 Lec-05 Segment Intersection Problem
6
Mod-03 Lec-06 Line Sweep: Rectangle Union
7
Mod-04 Lec-07 Convex Hull
8
Mod-04 Lec-08 Convex Hull Contd
9
Mod-04 Lec-09 Quick Hull
10
Mod-04 Lec-10 More Convex Hull Algorithms
11
Mod-05 Lec-11 Intersection of Half Planes and Duality
12
Mod-05 Lec-12 Intersection of Half Planes and Duality Contd
13
Mod-06 Lec-13 Lower Bounds
14
Mod-07 Lec-14 Planar Point Location
15
Mod-07 Lec-15 Point Location and Triangulation Contd...
16
Triangulation of Arbitrary Polygon.
17
Mod-08 Lec-17 Voronoi Diagram : Properties
18
Mod - 08 Lec-18 Voronoi Diagram Construction
19
Mod-08 Lec-19 Delaunay Triangulation.
20
Mod-09 Lec-20 Quick sort and Backward Analysis
21
Mod-09 Lec-21 Generalized RIC
22
Mod-09 Lec-22 RIC Continued
23
Mod-10 Lec-23 Arrangements
24
Mod-10 Lec-24 Zone Theorem and Application
25
Mod-10 Lec-25 Levels
26
Mod-11 Lec-26 Range Searching : Introduction
27
Mod-11 Lec-27 Orthogonal Range searching
28
Mod-11 Lec-28 Priority Search Trees
29
Mod-11 Lec-29 Non - Orthogonal Range Searching
30
Mod-11 Lec-30 Half - Plane Range Query
31
Mod-12 Lec-31 Well Separated Partitioning
32
Mod-12 Lec-32 Quadtrees Epsilon -WSPD
33
Mod-12 Lec-33 Construction of Epsilon - WSPD
34
Mod-12 Lec-34 Epsilon - WSPD to Geometric Spanner
35
Mod-13 Lec-35 Epsilon-Nets & VC Dimension
36
Mod-13 Lec-36 Epsilon-Nets & VC Dimension contd
37
Mod-13 Lec-37 Geometric Set Cover
38
Mod-13 Lec-38 Geometric Set Cover (with Bounded VC Dimension)
39
Mod-14 Lec-39 Shape Representation
40
Mod-14 Lec-40 Shape Comparison
Description:
Instructor: Prof. Pankaj Aggarwal, Department of Computer Science and Engineering, IIT Delhi. This course covers lessons in Introduction using Basic Visibility Problems, The Maximal Points Problem, The Plane Sweep Technique and applications, Convex Hull Different Paradigms and Quickhull, Dual Transformation and Applications, Lower Bounds on Algebraic Tree Model, Point Location and Triangulation, Voronoi Diagram and Delaunay Triangulation, Randomized Incremental Construction and Random Sampling, Arrangements and Levels, Range Searching, Clustering Point Sets using Quadtrees and Applications, Epsilon-Nets VC Dimension and Applications, Shape Analysis and Shape Comparison.

Computational Geometry

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