Algorithms

Author: Robert Sedgewick
Publisher: Addison-Wesley Professional
ISBN: 9780132762564
Size: 68.92 MB
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This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing--including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu, contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Introduction To Algorithms

Author: Thomas H.. Cormen
Publisher: MIT Press
ISBN: 9780262032933
Size: 63.72 MB
Format: PDF
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An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.

Algorithms

Author: M. H. Alsuwaiyel
Publisher: World Scientific
ISBN: 9812386394
Size: 15.51 MB
Format: PDF, ePub, Docs
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Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those 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. This book advocates the study of algorithm design techniques by presenting most of the useful algorithm design techniques and illustrating them through numerous examples. Contents: Basic Concepts and Introduction to Algorithms: Basic Concepts in Algorithmic Analysis; Mathematical Preliminaries; Data Structures; Heaps and the Disjoint Sets Data Structures; Techniques Based on Recursion: Induction; Divide and Conquer; Dynamic Programming; First-Cut Techniques: The Greedy Approach; Graph Traversal; Complexity of Problems: NP-Complete Problems; Introduction to Computational Complexity; Lower Bounds; Coping with Hardness: Backtracking; Randomized Algorithms; Approximation Algorithms; Iterative Improvement for Domain-Specific Problems: Network Flow; Matching; Techniques in Computational Geometry: Geometric Sweeping; Voronoi Diagrams. Readership: Senior undergraduates, graduate students and professionals in software development.

Design And Analysis Of Algorithms

Author: Parag Himanshu Dave
Publisher: Pearson Education India
ISBN: 9788177585957
Size: 76.27 MB
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"All aspects pertaining to algorithm design and algorithm analysis have been discussed over the chapters in this book-- Design and Analysis of Algorithms"--Resource description p.

Algorithms And Complexity

Author: Gerard Meurant
Publisher: Elsevier
ISBN: 0080933912
Size: 18.76 MB
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This first part presents chapters on models of computation, complexity theory, data structures, and efficient computation in many recognized sub-disciplines of Theoretical Computer Science.

Foundations Of Algorithms

Author: Richard Neapolitan
Publisher: Jones & Bartlett Publishers
ISBN: 1449600166
Size: 74.13 MB
Format: PDF, Kindle
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Foundations of Algorithms, Fourth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. The volume is accessible to mainstream computer science students who have a background in college algebra and discrete structures. To support their approach, the authors present mathematical concepts using standard English and a simpler notation than is found in most texts. A review of essential mathematical concepts is presented in three appendices. The authors also reinforce the explanations with numerous concrete examples to help students grasp theoretical concepts.

Introduction To Genetic Algorithms

Author: S.N. Sivanandam
Publisher: Springer Science & Business Media
ISBN: 3540731903
Size: 37.66 MB
Format: PDF, ePub
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This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Combinatorial Algorithms

Author: Te Chiang Hu
Publisher: Courier Corporation
ISBN: 9780486419626
Size: 51.15 MB
Format: PDF
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Newly enlarged, updated second edition of a valuable text presents algorithms for shortest paths, maximum flows, dynamic programming and backtracking. Also discusses binary trees, heuristic and near optimums, matrix multiplication, and NP-complete problems. 153 black-and-white illus. 23 tables. Newly enlarged, updated second edition of a valuable, widely used text presents algorithms for shortest paths, maximum flows, dynamic programming and backtracking. Also discussed are binary trees, heuristic and near optimums, matrix multiplication, and NP-complete problems. New to this edition: Chapter 9 shows how to mix known algorithms and create new ones, while Chapter 10 presents the "Chop-Sticks" algorithm, used to obtain all minimum cuts in an undirected network without applying traditional maximum flow techniques. This algorithm has led to the new mathematical specialty of network algebra. The text assumes no background in linear programming or advanced data structure, and most of the material is suitable for undergraduates. 153 black-and-white illus. 23 tables. Exercises, with answers at the ends of chapters.