Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

 
Kiadás sorszáma: 1
Kiadó: Chapman and Hall
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GBP 48.99
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A termék adatai:

ISBN13:9781032369396
ISBN10:1032369396
Kötéstípus:Puhakötés
Terjedelem:820 oldal
Méret:254x178 mm
Súly:1460 g
Nyelv:angol
Illusztrációk: 260 Illustrations, black & white; 260 Line drawings, black & white; 197 Tables, black & white
584
Témakör:
Rövid leírás:

A best-seller in its French edition, this book details 150 problems, spanning on seven families of algorithms. For each problem, a precise and progressive statement is given. More important, a complete solution is detailed, with respect to the design principles that have been presented; often, some classical errors are pointed at.

Hosszú leírás:
A bestseller in its French edition, this book is original in its construction and its success in the French market demonstrates its appeal. It is based on three principles: (1) An organization of the chapters by families of algorithms: exhaustive search, divide and conquer, etc. On the contrary, there is no chapter devoted only to a systematic exposure of, say, algorithms on strings. Some of these will be found in different chapters. (2) For each family of algorithms, an introduction is given to the mathematical principles and the issues of a rigorous design, with one or two pedagogical examples. (3) For the most part, the book details 150 problems, spanning seven families of algorithms. For each problem, a precise and progressive statement is given. More importantly, a complete solution is detailed, with respect to the design principles that have been presented; often, some classical errors are pointed out. Roughly speaking, two-thirds of the book is devoted to the detailed rational construction of the solutions.
Tartalomjegyzék:

Table of Contents


Preface




  1. Mathematics and Computer Science: Some Useful Notions



  2. Complexity of an Algorithm



  3. Specifications, Invariants, Iteration



  4. Reduce and Conquer, Recursion



  5. Generate and Test



  6. Branch and Bound



  7. Greedy Algorithms



  8. Divide and Conquer



  9. Dynamic Programming


Notations


List of Problems


Bibliography


Index