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Author: Donald Ervin Knuth
Publisher: Center for the Study of Language and Information Publica Tion
ISBN: 9781575865829
Category : Algorithms
Languages : en
Pages : 0
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Book Description
Donald Knuth's influence in computer science ranges from the invention of methods for translating and defining programming languages to the creation of the TEX and METAFONT systems for desktop publishing. His award-winning textbooks have become classics that are often given credit for shaping the field; his scientific papers are widely referenced and stand as milestones of development over a wide variety of topics. The present volume, which is the seventh in a series of his collected papers, is devoted to his work on the design of new algorithms. It covers methods for numerous discrete problems such as sorting, searching, data compression, optimization, theorem-proving, and cryptography, as well as methods for controlling errors in numerical computations and for Brownian motion. Nearly thirty of Knuth's classic papers on the subject are collected in this book, brought up to date with extensive revisions and notes on subsequent developments. Many of these algorithms have seen wide use--for example, Knuth's algorithm for optimum search trees, the Faller-Gallagher-Knuth algorithm for adaptive Huffman coding, the Knuth-Morris-Pratt algorithm for pattern matching, the Dijkstra-Knuth algorithm for optimum expressions, and the Knuth-Bendix algorithm for deducing the consequences of axioms. Others are pedagogically important, helping students to learn how to design new algorithms for new tasks. One or two are significant historically, as they show how things were done in computing's early days. All are found here, together with more than forty newly created illustrations.
Author: Donald Ervin Knuth
Publisher: Center for the Study of Language and Information Publica Tion
ISBN: 9781575865829
Category : Algorithms
Languages : en
Pages : 0
Get Book Here
Book Description
Donald Knuth's influence in computer science ranges from the invention of methods for translating and defining programming languages to the creation of the TEX and METAFONT systems for desktop publishing. His award-winning textbooks have become classics that are often given credit for shaping the field; his scientific papers are widely referenced and stand as milestones of development over a wide variety of topics. The present volume, which is the seventh in a series of his collected papers, is devoted to his work on the design of new algorithms. It covers methods for numerous discrete problems such as sorting, searching, data compression, optimization, theorem-proving, and cryptography, as well as methods for controlling errors in numerical computations and for Brownian motion. Nearly thirty of Knuth's classic papers on the subject are collected in this book, brought up to date with extensive revisions and notes on subsequent developments. Many of these algorithms have seen wide use--for example, Knuth's algorithm for optimum search trees, the Faller-Gallagher-Knuth algorithm for adaptive Huffman coding, the Knuth-Morris-Pratt algorithm for pattern matching, the Dijkstra-Knuth algorithm for optimum expressions, and the Knuth-Bendix algorithm for deducing the consequences of axioms. Others are pedagogically important, helping students to learn how to design new algorithms for new tasks. One or two are significant historically, as they show how things were done in computing's early days. All are found here, together with more than forty newly created illustrations.
Author: Steven S Skiena
Publisher: Springer Science & Business Media
ISBN: 1848000707
Category : Computers
Languages : en
Pages : 742
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Book Description
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java
Author: Dexter C. Kozen
Publisher: Springer Science & Business Media
ISBN: 1461244005
Category : Computers
Languages : en
Pages : 327
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Book Description
These are my lecture notes from CS681: Design and Analysis of Algo rithms, a one-semester graduate course I taught at Cornell for three consec utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer science preparing for their PhD qualifying exams, and to introduce theory students to some advanced topics in the design and analysis of algorithms. The material is thus a mixture of core and advanced topics. At first I meant these notes to supplement and not supplant a textbook, but over the three years they gradually took on a life of their own. In addition to the notes, I depended heavily on the texts • A. V. Aho, J. E. Hopcroft, and J. D. Ullman, The Design and Analysis of Computer Algorithms. Addison-Wesley, 1975. • M. R. Garey and D. S. Johnson, Computers and Intractibility: A Guide to the Theory of NP-Completeness. w. H. Freeman, 1979. • R. E. Tarjan, Data Structures and Network Algorithms. SIAM Regional Conference Series in Applied Mathematics 44, 1983. and still recommend them as excellent references.
Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 0471383651
Category : Computers
Languages : en
Pages : 722
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Book Description
Michael Goodrich and Roberto Tamassia, authors of the successful, Data Structures and Algorithms in Java, 2/e, have written Algorithm Engineering, a text designed to provide a comprehensive introduction to the design, implementation and analysis of computer algorithms and data structures from a modern perspective. This book offers theoretical analysis techniques as well as algorithmic design patterns and experimental methods for the engineering of algorithms. Market: Computer Scientists; Programmers.
Author: Anuradha A. Puntambekar
Publisher: Technical Publications
ISBN: 933322386X
Category : Computers
Languages : en
Pages : 689
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Book Description
This well-organized textbook provides the design techniques of algorithms in a simple and straight forward manner. The book begins with a description of the fundamental concepts such as algorithm, functions and relations, vectors and matrices. Then it focuses on efficiency analysis of algorithms. In this unit, the technique of computing time complexity of the algorithm is discussed along with illustrative examples. Gradually, the text discusses various algorithmic strategies such as divide and conquer, dynamic programming, Greedy algorithm, backtracking and branch and bound. Finally the string matching algorithms and introduction to NP completeness is discussed. Each algorithmic strategy is explained in stepwise manner, followed by examples and pseudo code. Thus this book helps the reader to learn the analysis and design of algorithms in the most lucid way.
Author: Anne Benoit
Publisher: CRC Press
ISBN: 1439898138
Category : Computers
Languages : en
Pages : 380
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Book Description
Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.
Author: Douglas R. Stinson
Publisher: CRC Press
ISBN: 1000403696
Category : Mathematics
Languages : en
Pages : 445
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Book Description
Techniques for Designing and Analyzing Algorithms Design and analysis of algorithms can be a difficult subject for students due to its sometimes-abstract nature and its use of a wide variety of mathematical tools. Here the author, an experienced and successful textbook writer, makes the subject as straightforward as possible in an up-to-date textbook incorporating various new developments appropriate for an introductory course. This text presents the main techniques of algorithm design, namely, divide-and-conquer algorithms, greedy algorithms, dynamic programming algorithms, and backtracking. Graph algorithms are studied in detail, and a careful treatment of the theory of NP-completeness is presented. In addition, the text includes useful introductory material on mathematical background including order notation, algorithm analysis and reductions, and basic data structures. This will serve as a useful review and reference for students who have covered this material in a previous course. Features The first three chapters provide a mathematical review, basic algorithm analysis, and data structures Detailed pseudocode descriptions of the algorithms along with illustrative algorithms are included Proofs of correctness of algorithms are included when appropriate The book presents a suitable amount of mathematical rigor After reading and understanding the material in this book, students will be able to apply the basic design principles to various real-world problems that they may encounter in their future professional careers.
Author: Sandeep Sen
Publisher: Cambridge University Press
ISBN: 1108496822
Category : Computers
Languages : en
Pages : 395
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Book Description
Focuses on the interplay between algorithm design and the underlying computational models.
Author: Harsh Bhasin
Publisher: Oxford University Press, USA
ISBN: 9780199456666
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Algorithms: Design and Analysis is a textbook designed for undergraduate and postgraduate students of computer science engineering, information technology, and computer applications. The book offers adequate mix of both theoretical and mathematical treatment of the concepts. It covers the basics, design techniques, advanced topics and applications of algorithms. The book will also serve as a useful reference for researchers and practising programmers whointend to pursue a career in algorithm designing. The book is also indented for students preparing for campus interviews and competitive examinations.
Author: John A. Meech
Publisher: CRC Press
ISBN: 9780849314933
Category : Technology & Engineering
Languages : en
Pages : 986
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Book Description
Intelligence in a Materials World contains 87 refereed papers selected from those presented at the Third International Conference on Intelligent Processing and Manufacturing of Materials. The contents span the full scope of the field of materials production and manufacturing from all parts of the world. The focus of this book is on practical applications of intelligent hardware and software. Topics include: New Intelligent Software Methods and Models Production of Raw Materials Biologically-Inspired Systems Simulation and Design of New Materials Atomistic and Electronic Modeling Web-based Design Metrology and Instrumentation Intelligent Manufacturing Systems Agent-based Large-Scale System Simulation Environmental Systems Planning and Scheduling Applications in Space Exploration Financial Transactions Materials Forming Rolling and Sheet Metal Systems Machining and Finishing Processes Language Recognition and Communication Cross-Disciplinary Research This book is an essential reference tool for individuals interested in applying state-of-the-art artificial Intelligence and its related modeling methods within areas that deal with materials production and manufacturing, from raw materials and ore to final consumer products. IPMM is an organization of over 400 individuals from over 45 countries who come together every two years to share in new ideas and applications that use intelligence (artificial or otherwise) to achieve new designs, novel planning methods, improved system optimization techniques, advanced process control or monitoring methods in different fields dealing with material science and engineering.
