Mathematics for the Analysis of Algorithms

Greene, Daniel H.; Knuth, Donald E.

ISBN 10: 0817647287 / ISBN 13: 9780817647285

Published by Birkhauser Boston Inc, 2007

About this Item

This monograph collects fundamental mathematical techniques required for the analysis of algorithms. It builds on the fundamentals of combinatorial analysis and complex variable theory to present major paradigms used in the precise analysis of algorithms. Series: Modern Birkhauser Classics. Num Pages: 132 pages, biography. BIC Classification: PBKS. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 7. Weight in Grams: 470. . 2007. 3rd Edition. paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780817647285

Bibliographic Details

• Title: Mathematics for the Analysis of Algorithms
• Publisher: Birkhauser Boston Inc
• Publication Date: 2007
• Language: English
• ISBN 10: 0817647287
• ISBN 13: 9780817647285
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex variable theory to present many of the major paradigms used in the precise analysis of algorithms, emphasizing the more difficult notions. The authors cover recurrence relations, operator methods, and asymptotic analysis in a format that is terse enough for easy reference yet detailed enough for those with little background. Approximately half the book is devoted to original problems and solutions from examinations given at Stanford.

From the Back Cover

A quantitative study of the efficiency of computer methods requires an in-depth understanding of both mathematics and computer science. This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex variable theory to present many of the major paradigms used in the precise analysis of algorithms, emphasizing the more difficult notions. The authors cover recurrence relations, operator methods, and asymptotic analysis in a format that is terse enough for easy reference yet detailed enough for those with little background. Approximately half the book is devoted to original problems and solutions from examinations given at Stanford.

"...a very valuable collection of mathematical techniques for the analysis of algorithms..." ― Mathematical Reviews

"The book covers the important mathematical tools used in computer science, especially in the exact analysis of algorithms. A wide range of topics are covered, from the binomial theorem to the saddle point method and Laplace’s techniques for asymptotic analysis...The book is very well written. The style and the mathematical exposition make the book pleasant to read...It covers many of the major paradigms used in the analysis of algorithms in its one hundred plus pages." ― SIAM Review

"The book presents a welcome selection a

nd careful exposition of material that can be (and is) covered in a single course...In this reviewer’s opinion, this would be an interesting text to use with a group of advanced students well-grounded in undergraduate mathematics and computer science, and would produce a valuable course for the participating students." ― Computing Reviews