This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithm development. The heart of the creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to enhance the reader's problem-solving abilities and understanding of the principles behind algorithm design. 0201120372B04062001
Author: V.V. Muniswamy
Publisher: I. K. International Pvt Ltd
Release Date: 2009-01-01
This book is designed for the way we learn and intended for one-semester course in Design and Analysis of Algorithms . This is a very useful guide for graduate and undergraduate students and teachers of computer science. This book provides a coherent and pedagogically sound framework for learning and teaching. Its breadth of coverage insures that algorithms are carefully and comprehensively discussed with figures and tracing of algorithms. Carefully developing topics with sufficient detail, this text enables students to learn about concepts on their own, offering instructors flexibility and allowing them to use the text as lecture reinforcement.Key Features:" Focuses on simple explanations of techniques that can be applied to real-world problems." Presents algorithms with self-explanatory pseudocode." Covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers." Includes chapter summary, self-test quiz and exercises at the end of each chapter. Key to quizzes and solutions to exercises are given in appendices.
Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language.
A comprehensive treatment focusing on the creation of efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.
Many programmers would love to use Perl for projects that involve heavy lifting, but miss the many traditional algorithms that textbooks teach for other languages. Computer scientists have identified many techniques that a wide range of programs need, such as: Fuzzy pattern matching for text (identify misspellings!) Finding correlations in data Game-playing algorithms Predicting phenomena such as Web traffic Polynomial and spline fitting Using algorithms explained in this book, you too can carry out traditional programming tasks in a high-powered, efficient, easy-to-maintain manner with Perl.This book assumes a basic understanding of Perl syntax and functions, but not necessarily any background in computer science. The authors explain in a readable fashion the reasons for using various classic programming techniques, the kind of applications that use them, and -- most important -- how to code these algorithms in Perl.If you are an amateur programmer, this book will fill you in on the essential algorithms you need to solve problems like an expert. If you have already learned algorithms in other languages, you will be surprised at how much different (and often easier) it is to implement them in Perl. And yes, the book even has the obligatory fractal display program.There have been dozens of books on programming algorithms, some of them excellent, but never before has there been one that uses Perl.The authors include the editor of The Perl Journal and master librarian of CPAN; all are contributors to CPAN and have archived much of the code in this book there."This book was so exciting I lost sleep reading it." Tom Christiansen
Author: Elliot B. Koffman
Publisher: John Wiley & Sons
Release Date: 2010-01-26
This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They’ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.
The author, Cliff Shaffer provides a superior learning tool for those who desire more rigorous data structures and an algorithm analysis book utilizing Java.While the author covers most of the standard data structures, he concentrates on teaching the principles required to select or design a data structure that will best solve a problem. The emphasis is on data structures, and algorithm analysis, not teaching Java. Java is utilized strictly as a tool to illustrate data structures concepts and only the minimal, useful subset of Java is included.
While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book's unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies--exhaustive search, backtracking, and divide-and-conquer, among others--will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary on the puzzle's origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking through more difficult puzzles.
Author: Rod Stephens
Publisher: John Wiley & Sons
Release Date: 2013-07-25
A friendly and accessible introduction to the most usefulalgorithms Computer algorithms are the basic recipes for programming.Professional programmers need to know how to use algorithms tosolve difficult programming problems. Written in simple, intuitiveEnglish, this book describes how and when to use the most practicalclassic algorithms, and even how to create new algorithms to meetfuture needs. The book also includes a collection of questions thatcan help readers prepare for a programming job interview. Reveals methods for manipulating common data structures such asarrays, linked lists, trees, and networks Addresses advanced data structures such as heaps, 2-3 trees,B-trees Addresses general problem-solving techniques such as branch andbound, divide and conquer, recursion, backtracking, heuristics, andmore Reviews sorting and searching, network algorithms, andnumerical algorithms Includes general problem-solving techniques such as brute forceand exhaustive search, divide and conquer, backtracking, recursion,branch and bound, and more In addition, Essential Algorithms features a companionwebsite that includes full instructor materials to support trainingor higher ed adoptions.
Author: M. Bunz
Release Date: 2013-10-31
Genre: Language Arts & Disciplines
Critically engaging, illustrative and with numerous examples, The Silent Revolution delivers a philosophically informed introduction to current debates on digital technology and calls for a more active role of humans towards technology.
Author: Y. Daniel Liang
Publisher: Prentice Hall
Release Date: 2007
Programming is, above all, problem solving. This book will help students thoroughly understand real-world programming problems - and solve those problems quickly and efficiently, using Java's sophisticated design and coding facilities.
Author: David Schmidt
Publisher: Springer Science & Business Media
Release Date: 2004-03-18
This book constitutes the refereed proceedings of the 13th European Symposium on Programming, ESOP 2004, held in Barcelona, Spain, in March/April 2004. The 27 revised full papers presented together with the abstract of an invited talk were carefully reviewed and selected from a total of 118 submissions. The papers deal with a broad variety of current issues in the specification, analysis, and implementation of programming languages and systems.