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.
"synopsis" may belong to another edition of this title.
'Bernard Chazelle's book The Discrepancy Method is a technical tour de force ... this is an eminently readable book.' Prabhakar Raghavan, SIAM Review
' ... the main point is that by presenting the discrepancy method in such an impressive way as this book does, the author helps us to imagine the fantastic possibilities that randomization opens up to everybody, and he shows that current research in theoretical computer science has an astonishing impact on common fundamentals of all sciences. I believe that any reader interested in principal questions will enjoy this book.' The Computer Journal
The discrepancy method is the most fruitful line of attack on the pivotal question: what is the computational power of random bits? This book includes such topics as communication complexity, pseudo-randomness, rapidly mixing Markov chains, derandomization, convex hulls and Voronoi diagrams, linear programming, geometric sampling and VC-dimension theory, and multidimensional searching.
"About this title" may belong to another edition of this title.
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Seller Inventory # 0521003571-11-1
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0521003571I3N00
Seller: Moe's Books, Berkeley, CA, U.S.A.
Soft cover. Condition: Good. No jacket. Cover is shelf worn and slightly rubbed, but otherwise cover is in good condition. Binding is tight and inside is clean and unmarked. Seller Inventory # 1142051
Seller: Book_Mob, Santa Clarita, CA, U.S.A.
paperback. Condition: Clean pages with no markings. Ask for photos!Clean pages with no markings. Minor wear on edges and corners.Ships same day in most cases! Seller Inventory # 07-24-34-019
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new. Seller Inventory # 8A27_39_0521003571
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Feb2215580238062
Seller: Fireside Bookshop, Stroud, GLOS, United Kingdom
Cloth. Condition: Very Good. Type: Book Plain label inside cover. Seller Inventory # 051465
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 494 pages. 8.75x6.00x1.00 inches. In Stock. This item is printed on demand. Seller Inventory # __0521003571
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. 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. This book includes such topics as communication complexity, pseudo-randomness, rapidly mixing Markov chains, derandomization, convex hulls and Voronoi diagrams, linear programming, geometric sampling and VC-dimension theory, and multidimensional searching. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521003575
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780521003575_new
Quantity: Over 20 available