Computational geometry : an introduction through randomized algorithms

書誌事項

Computational geometry : an introduction through randomized algorithms

Ketan Mulmuley

Prentice-Hall, c1994

この図書・雑誌をさがす
注記

Includes bibliographical references and index

内容説明・目次

内容説明

This introduction to computational geometry is designed for beginners. It emphasizes simple randomized methods, developing basic principles with the help of planar applications, beginning with deterministic algorithms and shifting to randomized algorithms as the problems become more complex. It also explores higher dimensional advanced applications and provides exercises.

目次

I. BASICS. 1. Quick-sort and Search. Quick-sort. Another view of quick-sort. Randomized binary trees. Skip lists. 2. What Is Computational Geometry? Range queries. Arrangements. Trapezoidal decompositions. Convex polytopes. Voronoi diagrams. Hidden surface removal. Numerical precision and degeneracies. Early deterministic algorithms. Deterministic vs. randomized algorithms. The model of randomness. 3. Incremental Algorithms. Trapezoidal decompositions. Convex polytopes. Voronoi diagrams. Configuration spaces. Tail estimates. 4. Dynamic Algorithms. trapezoidal decompositions. Voronoi diagrams. History and configuration spaces. Rebuilding history. Deletions in history. Dynamic shuffling. 5. Random Sampling. Configuration spaces with bounded valence. Top-down sampling. Bottom-up sampling. Dynamic sampling. Average conflict size. More dynamic algorithms. Range spaces and E-nets. Comparisons. II. APPLICATIONS. 6. Arrangements of Hyperplanes. Incremental construction. Zone Theorem. Canonical triangulations. Point location and ray shooting. Point location and range queries. 7. Convex Polytopes. Linear Programming. The number of faces. Incremental construction. The expected structural and conflict change. Dynamic maintenance. Voronoi diagrams. Search problems. Levels and Voronoi diagrams of order k. 8. Range Search. Orthogonal intersection search. Nonintersecting segments in the plane. Dynamic point location. Simplex range search. Half-space range queries. Decomposable search problems. Parametric search. 9. Computer Graphics. Hidden surface removal. Binary Space Partitions. Moving viewpoint. 10. How Crucial Is Randomness? Pseudo-random sources. Derandomization. Appendix: Tail Estimates. Chernoff's technique. Chebychev's technique. Bibliography. Index.

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詳細情報
  • NII書誌ID(NCID)
    BA2163034X
  • ISBN
    • 0133363635
  • LCCN
    93003138
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Englewood Cliffs, N.J.
  • ページ数/冊数
    xv, 447 p.
  • 大きさ
    25 cm
  • 分類
  • 件名
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