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  • Handbook of Discrete and Computational Geometry

    Handbook of Discrete and Computational Geometry by Toth, Csaba D.; O'Rourke, Joseph; Goodman, Jacob E.;

    Sorozatcím: Discrete Mathematics and Its Applications; 20;

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        46 341 Ft (44 135 Ft + 5% áfa)
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      • Kedvezményes ár 41 708 Ft (39 722 Ft + 5% áfa)

    46 341 Ft

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    A termék adatai:

    • Kiadás sorszáma 1
    • Kiadó CRC Press
    • Megjelenés dátuma 1997. július 15.

    • ISBN 9780849385247
    • Kötéstípus Keménykötés
    • Terjedelem1008 oldal
    • Méret 254x177 mm
    • Súly 1884 g
    • Nyelv angol
    • Illusztrációk 169 Tables, black & white
    • 0

    Kategóriák

    Rövid leírás:

    While much information can be found on discrete and computational geometry, it is scattered among many sources. The Handbook of Discrete and Computational Geometry brings together all of the major results in both these fields into one volume. Thousands of results, theorems, algorithms, and tables definitively cover the field, while numerous applications from many different fields demonstrate practical usage. The material is readily accessible to the novice, but offers enough depth to appeal to the specialist. Every technical term is defined in an easy-to-use glossary. Over 200 figures illustrate the concepts presented and provide supporting examples.

    Több

    Hosszú leírás:

    Jacob E. Goodman, co-founder and editor of Discrete & Computational Geometry, the preeminent journal on this area in the international mathematics and computer science community, joins forces with the distinguished computer scientist Joseph O'Rourke and other well-known authorities to produce the definitive handbook on these two interrelated fields.

    Over the past decade or so, researchers and professionals in discrete geometry and the newer field of computational geometry have developed a highly productive collaborative relationship, where each area benefits from the methods and insights of the other. At the same time that discrete and computational geometry are becoming more closely identified, applications of the results of this work are being used in an increasing number of widely differing areas, from computer graphics and linear programming to manufacturing and robotics. The authors have answered the need for a comprehensive handbook
    for workers in these and related fields, and for other users of the body of results.

    While much information can be found on discrete and computational geometry, it is scattered among many sources, and individual books and articles are often narrowly focused. Handbook of Discrete and Computational Geometry brings together, for the first time, all of the major results in both these fields into one volume. Thousands of results - theorems, algorithms, and tables - throughout the volume definitively cover the field, while numerous applications from many different fields demonstrate practical usage. The material is presented clearly enough to assist the novice, but in enough depth to appeal to the specialist. Every technical term is clearly defined in an easy-to-use glossary. Over 200 figures illustrate the concepts presented and provide supporting examples. Information on current geometric software - what it does, how efficiently it does it, and where to find it - is also included.

    Jacob E. Goodman, co-founder and editor of Discrete & Computational Geometry, the preeminent journal on this area in the international mathematics and computer science community, joins forces with the distinguished computer scientist Joseph O'Rourke and other well-known authorities to produce the definitive handbook on these two interrelated fields.

    Over the past decade or so, researchers and professionals in discrete geometry and the newer field of computational geometry have developed a highly productive collaborative relationship, where each area benefits from the methods and insights of the other. At the same time that discrete and computational geometry are becoming more closely identified, applications of the results of this work are being used in an increasing number of widely differing areas, from computer graphics and linear programming to manufacturing and robotics. The authors have answered the need for a comprehensive handbook
    for workers in these and related fields, and for other users of the body of results.

    While much information can be found on discrete and computational geometry, it is scattered among many sources, and individual books and articles are often narrowly focused. Handbook of Discrete and Computational Geometry brings together, for the first time, all of the major results in both these fields into one volume. Thousands of results - theorems, algorithms, and tables - throughout the volume definitively cover the field, while numerous applications from many different fields demonstrate practical usage. The material is presented clearly enough to assist the novice, but in enough depth to appeal to the specialist. Every technical term is clearly defined in an easy-to-use glossary. Over 200 figures illustrate the concepts presented and provide supporting examples. Information on current geometric software - what it does, how efficiently it does it, and where to find it - is also included.

    Több

    Tartalomjegyzék:

    Finite point configurations
    Packing and covering
    Tilings
    Helly-type theorems and geometric transversals
    Pseudoline arrangements
    Oriented matroids
    Lattice points and lattice polytopes
    Euclidean Ramsey theory
    Discrete aspects of stochastic geometry
    Geometric discrepancy theory and uniform distribution
    Topological methods
    Polyominoes

    Basic properties of convex polytopes
    Subdivisions and triangulations of polytopes
    Face numbers of polytopes and complexes
    Symmetry of polytopes and polyhedra
    Polytope skeletons and paths
    Polyhedral maps

    Convex hull computations
    Voronoi diagrams and Delaunay triangulations
    Arrangements
    Triangulations
    Polygons
    Shortest paths and networks
    Visibility
    Geometric reconstruction problems
    Computational convexity
    Computational topology
    Computational real algebraic geometry

    Point location
    Range searching
    Ray shooting and lines in space
    Geometric intersection

    Randomized algorithms
    Robust geometric computation
    Parallel algorithms in geometry
    Parametric search

    Linear programming in low dimensions
    Mathematical programming
    Algorithmic motion planning
    Robotics
    Computer graphics
    Pattern recognition
    Graph drawing
    Splines and geometric modeling
    Manufacturing processes
    Solid modeling
    Geometric applications of the Grassmann-Cayley algebra
    Rigidity and scene analysis
    Sphere packing and coding theory
    Crystals and quasicrystals

    Computational geometry software

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