Data Structures And Algorithm Analysis In C

Author: Mark Allen Weiss
Publisher: Addison-Wesley Longman
ISBN: 9780321441461
Size: 31.28 MB
Format: PDF, ePub, Mobi
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Mark Allen Weiss' innovative approach to algorithms and data structures teaches the simultaneous development of sound analytical and programming skills for the advanced data structures course. Readers learn how to reduce time constraints and develop programs efficiently by analyzing the feasibility of an algorithm before it is coded. The C++ language is brought up-to-date and simplified, and the Standard Template Library is now fully incorporated throughout the text. This Third Edition also features significantly revised coverage of lists, stacks, queues, and trees and an entire chapter dedicated to amortized analysis and advanced data structures such as the Fibonacci heap. Known for its clear and friendly writing style, Data Structures and Algorithm Analysis in C++ is logically organized to cover advanced data structures topics from binary heaps to sorting to NP-completeness. Figures and examples illustrating successive stages of algorithms contribute to Weiss' careful, rigorous and in-depth analysis of each type of algorithm.

Data Structures And Algorithm Analysis In C Third Edition

Author: Clifford A. Shaffer
Publisher: Courier Corporation
ISBN: 0486172627
Size: 69.35 MB
Format: PDF, Kindle
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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 C++ as the programming language.

Data Structures And Algorithm Analysis In Java Third Edition

Author: Clifford A. Shaffer
Publisher: Courier Corporation
ISBN: 0486173569
Size: 73.83 MB
Format: PDF, Docs
View: 823
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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.

Data Structures And Algorithm Analysis In Java 3rd Edition

Author: Mark Allen Weiss
Publisher: MACMILLAN HEINEMANN
ISBN:
Size: 34.80 MB
Format: PDF, ePub
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Data Structures and Algorithm Analysis in Java is an “advanced algorithms” book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7. This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math. As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java. Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code complement the text’s coverage.

Data Structures And Algorithm Analysis In Java Third Edition

Author: Clifford A. Shaffer
Publisher: Courier Corporation
ISBN: 0486173569
Size: 66.12 MB
Format: PDF
View: 6874
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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.

Data Structures And Algorithms In C

Author: Adam Drozdek
Publisher: Cengage Learning
ISBN: 1285415019
Size: 60.15 MB
Format: PDF, ePub, Mobi
View: 1781
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Strengthen your understanding of data structures and their algorithms for the foundation you need to successfully design, implement and maintain virtually any software system. Theoretical, yet practical, DATA STRUCUTRES AND ALGORITHMS IN C++, 4E by experienced author Adam Drosdek highlights the fundamental connection between data structures and their algorithms, giving equal weight to the practical implementation of data structures and the theoretical analysis of algorithms and their efficiency. This edition provides critical new coverage of treaps, k-d trees and k-d B-trees, generational garbage collection, and other advanced topics such as sorting methods and a new hashing technique. Abundant C++ code examples and a variety of case studies provide valuable insights into data structures implementation. DATA STRUCTURES AND ALGORITHMS IN C++ provides the balance of theory and practice to prepare readers for a variety of applications in a modern, object-oriented paradigm. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Data Structures Problem Solving Using Java

Author: Mark Allen Weiss
Publisher: Addison-Wesley Longman
ISBN: 9780321322135
Size: 48.43 MB
Format: PDF, Docs
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This book provides a practical introduction to data structures from a viewpoint of abstract thinking and problem solving, as well as the use of Java. It does this through what remains a unique approach that clearly separates each data structure's interface (how to use a data structure) from it's implementation (how to actually program that structure) into different parts of the book. Part I (Tour of Java), Part II (Algorithms and Building Blocks), and Part III (Applications) lay the groundwork by discussing basic concepts and tools and providing some practical examples, but implementation of data structures is not shown until Part IV (Implementations), forcing the reader to think about the functionality of the data structures before the hash table is implemented. The third edition of Data Structures and Problem Solving Using Java incorporates the enhancements of Java 5.0. It includes coverage of generic programming, and content on the design of generic collection classes. This book is appropriate for readers who are familiar with basic Java programming concepts or are new to the language and want to learn how it treats data structures concepts.

Data Structures And Algorithms In Java

Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 1118771338
Size: 68.45 MB
Format: PDF, Mobi
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The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

Introduction To Algorithms

Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262533057
Size: 22.36 MB
Format: PDF, Docs
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A new edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.

Algorithms In C Parts 1 4

Author: Robert Sedgewick
Publisher: Addison-Wesley Professional
ISBN: 076868501X
Size: 75.17 MB
Format: PDF, ePub, Docs
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Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.