Compared to What?: Introduction to the Analysis of Algorithms

Rawlins, Gregory J. E.

ISBN 10: 071678243X / ISBN 13: 9780716782438

Published by W.H.Freeman & Co Ltd, 1991

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Seller Inventory # wbs6297525139

Bibliographic Details

• Title: Compared to What?: Introduction to the Analysis of Algorithms
• Publisher: W.H.Freeman & Co Ltd
• Publication Date: 1991
• Language: English
• ISBN 10: 071678243X
• ISBN 13: 9780716782438
• Binding: Hardcover
• Condition: Good
• Weight: 1130 grams

About this title

Synopsis

compared to what? covers all the basics of algorithm analysis but it does not just supply algorithms to memorize - it lets you guide your students through the process of breaking down and solving aigolithmic problems. The invaluable analytic skills developed through this innovative approach will appiv to anj, programming assignment-no matter the size of the problem or the language and macnine used. The book does not assume a high degree of familiarity with discrete mathematics-in fact, all mathematical concepts crucial to algorithm analysis are explained in the appendices. Each chapter centers on a basic problem and works through a variety of available . options for its solution rather than declaring a single best answer. Within the chapters, carefully orchestrated. 'Pauses'-helpful questions and strategy suggestions-point students to workable solutions and to increasinglv more advanced variations and applications. End-of-chapter 'Codas' restate each chapter's major themes and guide the transition into the next set of problems. Compared to What? will help students analyze problems, determine what needs to be optimized, and pinpoint inefficiencies and inaccuracies in their programs. Its fr-iendlv but challenging style, inventive examples 'and analogies, descriptions of state-of-the-art applications, and pragmatic focus will help you teach students to create algorithmic solutions-not merely memorize them.