Algorithms: Design Techniques And Analysis (Revised Edition)

Algorithms: Design Techniques And Analysis (Revised Edition)

by M H Alsuwaiyel
ISBN-10:
9814723649
ISBN-13:
9789814723640
Pub. Date:
04/16/2016
Publisher:
World Scientific Publishing Company, Incorporated
ISBN-10:
9814723649
ISBN-13:
9789814723640
Pub. Date:
04/16/2016
Publisher:
World Scientific Publishing Company, Incorporated
Algorithms: Design Techniques And Analysis (Revised Edition)

Algorithms: Design Techniques And Analysis (Revised Edition)

by M H Alsuwaiyel
$206.0
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$206.00 
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Overview

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them.Algorithms: Design Techniques and Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples — emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms.Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering.

Product Details

ISBN-13: 9789814723640
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 04/16/2016
Series: Lecture Notes Series On Computing , #14
Edition description: Revised
Pages: 572
Product dimensions: 6.20(w) x 9.00(h) x 1.30(d)

Table of Contents

Basic Concepts in Algorithmic Analysis; Data Structures; Heaps and the Disjoint Sets Data Structures; Induction; Divide and Conquer; Dynamic Programming; The Greedy Approach; Graph Traversal; NP-Complete Problems; Introduction to Computational Complexity; Lower Bounds; Backtracking; Randomized Algorithms; Approximation Algorithms; Network Flow; Matching; Geometric Sweeping; Appendices: Mathematical Preliminaries; Introduction to Discrete Probability;
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