did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780521770934

The Discrepancy Method: Randomness and Complexity

by
  • ISBN13:

    9780521770934

  • ISBN10:

    0521770939

  • Format: Hardcover
  • Copyright: 2000-07-24
  • Publisher: Cambridge University Press

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $152.00 Save up to $50.92
  • Rent Book $101.08
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    SPECIAL ORDER: 1-2 WEEKS
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

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.

Table of Contents

Preface xi
Combinatorial Discrepancy
1(32)
Greedy Methods
3(4)
The Method of Conditional Expectations
3(2)
The Hyperbolic Cosine Algorithm
5(1)
The Unbiased Greedy Algorithm
6(1)
The Entropy Method
7(2)
The Beck-Fiala Theorem
9(1)
Discrepancy and the Vapnik-Chervonenkis Dimension
10(6)
Primal and Dual Shatter Functions
11(3)
Beating the Standard Deviation Bound
14(2)
Lower Bounds
16(15)
The Hadamard Matrix Bound
17(1)
The Eigenvalue Bound
18(1)
Roth's 1/4-Theorem
19(3)
The View from Harmonic Analysis
22(3)
Hereditary Discrepancy and Determinants
25(3)
Square Matrices Revisited
28(3)
Bibliographical Notes
31(2)
Upper Bound Techniques
33(92)
Numerical Integration and Koksma's Bound
34(1)
Halton-Hammersley Points
35(3)
Arithmetic Progressions in R/Z
38(8)
Weyl's Ergodicity Criterion
39(2)
Continued Fractions
41(3)
Irrational Lattices
44(2)
Jittered Sampling
46(3)
An Orbital Construction for Points on a Sphere
49(37)
Quaternions and SO(3)
51(2)
Spherical Harmonics and the Laplacian
53(3)
Spectrum of Self-Adjoint Operators
56(2)
Harmonic Analysis on a Tree
58(2)
Operator Discrepancy
60(2)
Spherical Cap Discrepancy
62(7)
Hecke Operators and the Ramanujan Bound
69(4)
The Modular Group
73(7)
Modular Forms
80(5)
Deligne's Spectral Bounds for Cusp Forms
85(1)
A Review of Arithmetic Algebraic Geometry*
86(23)
L-Functions of Modular Forms
88(2)
Hecke Operators and Euler Products
90(2)
Elliptic Curves
92(4)
The Riemann Surface of the Curve X0(N)
96(2)
The Addition Law of Elliptic Curves
98(2)
Zeta Functions of Number Fields
100(2)
Zeta Functions of Curves
102(3)
The Hasse-Weil L-Function
105(1)
The Shimura-Taniyama Conjecture
106(3)
The Laplacian and Optimum Principles*
109(6)
The Spanning Path Theorem
115(7)
A Volume Argument
117(3)
The Iterative Reweighting Method
120(2)
Bibliographical Notes
122(3)
Lower Bound Techniques
125(36)
The Method of Orthogonal Functions
126(10)
Haar Wavelets
127(4)
Riesz Products
131(2)
Orthogonality and Independence*
133(3)
The Fourier Transform Method
136(11)
Beck's Amplification Method
137(5)
Bessel Functions and the Fejer Kernel
142(5)
The Finite Differencing Method
147(12)
Buffon's Needle as a Discrepancy Tool
148(4)
A Probabilistic Interpretation*
152(2)
The Alexander-Stolarsky Formula
154(1)
The Discrepancy of Halfspaces
155(3)
Approximate Diagonalization*
158(1)
Bibliographical Notes
159(2)
Sampling
161(34)
&epsis;-Nets and &epsis;-Approximations
162(1)
General Set Systems
163(3)
The Greedy Cover Algorithm
163(1)
The Weighted Greedy Sampling Algorithm
164(2)
Sampling in Bounded VC-Dimension
166(13)
Building an &epsis;-Approximation
167(4)
Three Ways to Build an &epsis;-Net
171(4)
Product Range Spaces
175(4)
Weak &epsis;-Nets
179(13)
A Primer on Hyperbolic Geometry*
181(7)
Hyperbolic Triangle Groups
188(1)
Nets for Uniform Circular Distributions
189(3)
Bibliographical Notes
192(3)
Geometric Searching
195(25)
Optimal &epsis;-Cuttings
196(7)
Cuttings in Action
203(3)
Point Location Among Hyperplanes
203(2)
Hopcroft's Problem
205(1)
Simplex Range Searching
206(12)
The Conjugation Tree
208(2)
The Spanning-Path Tree
210(1)
Simplicial Partitions
211(5)
Logarithmic Query Time
216(1)
Space-Time Tradeoffs
217(1)
Bibliographical Notes
218(2)
Complexity Lower Bounds
220(53)
Arithmetic Circuits
224(17)
Entropy-Increasing Computation
226(3)
The Spectral Lemma
229(5)
A Wavelet Argument for Box Matrices
234(6)
Triangle Matrices via Buffon's Needle
240(1)
Data Structures and Eigenvalues
241(6)
Monotone Circuits
247(12)
Box Matrices and Chinese Remaindering
249(3)
Line Matrices and the Euler Totient Function
252(1)
Simplex Matrices and Heilbronn's Problem
253(6)
Geometric Databases
259(12)
Simplex Queries: An Isoperimetric Inequality
261(6)
Box Queries: The Hyperbolic Boundary
267(4)
Bibliographical Notes
271(2)
Convex Hulls and Voronoi Diagrams
273(24)
Geode and Conflict Lists
275(3)
A Probabilistic Algorithm
278(6)
Derandomization
284(12)
Sharp Energy Estimation
285(6)
The Oracle
291(4)
Complexity Analysis
295(1)
Bibliographical Notes
296(1)
Linear Programming and Extensions
297(9)
LP-Type Problems
298(4)
The Four Axioms
298(1)
Linear Programming as an LP-Type Problem
299(2)
A Deterministic Solution
301(1)
Linear Programming in Linear Time
302(1)
Computing Lowner-John Ellipsoids
303(1)
Bibliographical Notes
304(2)
Pseudorandomness
306(30)
Finite Fields and Character Sums*
309(3)
Pairwise Independence
312(2)
Universal Hash Functions
314(5)
Random Walk on an Expander
319(7)
Spectral Properties of Expanders
322(2)
Recycling Random Bits
324(2)
Low Bias from Quadratic Residues
326(2)
Polynomial Interpolation
328(5)
Low-Discrepancy Arithmetic Progressions
328(3)
Small Fourier Coefficients
331(1)
Interpolating a Sparse Polynomial
332(1)
Bibliographical Notes
333(3)
Communication Complexity
336(30)
Inner Product Modulo Two
337(4)
Distributional Communication Complexity
338(1)
The Matrix Rank Bound
339(2)
Searching in a Finite Universe
341(2)
The Master Argument
343(13)
A Hierarchy of Tree Contractions
345(1)
A Product Space Construction
346(4)
Candidate Queries
350(3)
Probability Amplification by Projection
353(3)
Applications
356(8)
Predecessor Searching
356(1)
Point Separation
356(5)
Approximate Nearest Neighbors
361(3)
Bibliographical Notes
364(2)
Minimum Spanning Trees
366(53)
Linear Selection as Low-Discrepancy Sampling
367(2)
The Soft Heap: An Approximate Priority Queue
369(2)
Computing the MST
371(30)
A Preview
375(4)
The Effect of Corruption
379(2)
The Algorithm
381(9)
Correctness
390(5)
The Decay Lemma
395(3)
Complexity Analysis
398(3)
The Soft Heap, Cont'd
401(16)
Implementing the Four Operations
404(9)
The Error Rate
413(2)
The Running Time
415(2)
Bibliographical Notes
417(2)
A Probability Theory 419(12)
A.1 Common Distributions
419(4)
A.2 Tail Estimates
423(5)
The Chernoff and Hoeffding Bounds
425(2)
A Unifying View of Tail Estimation
427(1)
A.3 Entropy
428(2)
A.4 Bibliographical Notes
430(1)
B Harmonic Analysis 431(12)
B.1 Fourier Transforms
431(4)
Functions in L2(Rd)
431(1)
Abelian Groups
432(3)
B.2 Fourier Series
435(3)
C Convex Geometry
438(1)
C.1 Polytopes
438(3)
C.2 Voronoi Diagrams
441(2)
Bibliography 443(15)
Index 458

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program