Bernard Chazelle

The Discrepancy Method

Randomness and Complexity

• Gebundenes Buch

Produktbeschreibung

The discrepancy method is the glue that binds randomness and complexity. It is the bridge between randomized computation and discrepancy theory, the area of mathematics concerned with irregularities in distributions. The discrepancy method has played a major role in complexity theory; in particular, it has caused a mini-revolution of sorts in computational geometry. This book tells the story of the discrepancy method in a few short independent vignettes. It is a varied tale which includes such topics as communication complexity, pseudo-randomness, rapidly mixing Markov chains, points on the sphere and modular forms, derandomization, convex hulls, Voronoi diagrams, linear programming and extensions, geometric sampling, VC-dimension theory, minimum spanning trees, linear circuit complexity, and multidimensional searching. The mathematical treatment is thorough and self-contained. In particular, background material in discrepancy theory is supplied as needed. Thus the book should appeal to students and researchers in computer science, operations research, pure and applied mathematics, and engineering.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 494
• Erscheinungstermin: 21. September 2010
• Englisch
• Abmessung: 235mm x 157mm x 33mm
• Gewicht: 778g
• ISBN-13: 9780521770934
• ISBN-10: 0521770939
• Artikelnr.: 10226473

Inhaltsangabe

1. Combinatorial discrepancy; 2. Upper bounds in geometric discrepancy; 3. Lower bounds in geometric discrepancy; 4. Sampling; 5. Geometric searching; 6. Complexity lower bounds; 7. Convex hulls and Voronoi diagrams; 8. Linear programming and extensions; 9. Pseudo-randomness; 10. Communication complexity; 11. Minimum spanning trees; A. Probability theory; B. Harmonic analysis; C. Convex geometry.

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1. Combinatorial discrepancy
2. Upper bounds in geometric discrepancy
3. Lower bounds in geometric discrepancy
4. Sampling
5. Geometric searching
6. Complexity lower bounds
7. Convex hulls and Voronoi diagrams
8. Linear programming and extensions
9. Pseudo-randomness
10. Communication complexity
11. Minimum spanning trees
A. Probability theory
B. Harmonic analysis
C. Convex geometry.

Rezensionen

'Bernard Chazelle's book The Discrepancy Method is a technical tour de force ... this is an eminently readable book.' Prabhakar Raghavan, SIAM Review