Data Structures Algorithm Analysis in Java

Author: Clifford A. Shaffer
Publisher: Courier Corporation
ISBN: 9780486485812
Release Date: 2011
Genre: Computers

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 Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithmic analysis.

Data Structures and Algorithm Analysis in Java

Author: Mark A. Weiss
Publisher: Pearson Higher Ed
ISBN: 9780133001358
Release Date: 2011-11-21
Genre: Computers

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. 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 C Third Edition

Author: Clifford A. Shaffer
Publisher: Courier Corporation
ISBN: 9780486172620
Release Date: 2012-07-26
Genre: Computers

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.

Classic Data Structures in C

Author: Timothy Budd
Publisher: Addison-Wesley
ISBN: UCSC:32106011778955
Release Date: 1994
Genre: Computers

The author uses C++ to introduce the reader to the classic data structures that are found in almost all computer programs. The proper uses of various features of the C++ programming language are introduced and a C++ appendix is included. The book also provides examples of modern software engineering principles and techniques.

C Classes and Data Structures

Author: Jeffrey S. Childs
Publisher: Prentice Hall
ISBN: 9780131580510
Release Date: 2008
Genre: Computers

Most books on data structures are filled with so many technical details (and lack thorough explanations) that the reading becomes difficult. This accessible, conversational presentation explores data structures concepts in clear language. Assumes a basic knowledge of C++. Focuses on the client for all programs, classes, and data structures. Offers meaningful, relevant examples and worked examples throughout. Includes thoroughly tested code. Provides code for all examples. A useful reference for anyone interested in learning more about programming.

Mathematics for Algorithm and Systems Analysis

Author: Edward A. Bender
Publisher: Courier Corporation
ISBN: 9780486442501
Release Date: 2005
Genre: Mathematics

Discrete mathematics is fundamental to computer science, and this up-to-date text assists undergraduates in mastering the ideas and mathematical language to address problems that arise in the field's many applications. It consists of 4 units of study: counting and listing, functions, decision trees and recursion, and basic concepts of graph theory.

A Practical Introduction to Data Structures and Algorithm Analysis

Author: Clifford A. Shaffer
Publisher:
ISBN: UOM:39015040375167
Release Date: 1998
Genre: Computers

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.

DATA STRUCTURES AND ALGORITHMS WITH OBJECT ORIENTED DESIGN PATTERNS IN C

Author: Bruno R. Preiss
Publisher: John Wiley & Sons
ISBN: 8126516437
Release Date: 2008-05-01
Genre:

About The Book: Bruno Preiss presents readers with a modern, object-oriented perspective for looking at data structures and algorithms, clearly showing how to use polymorphism and inheritance, and including fragments from working and tested programs. The book uses a single class hierarchy as a framework to present all of the data structures. This framework clearly shows the relationships between data structures and illustrates how polymorphism and inheritance can be used effectively.

Data Structures and Network Algorithms

Author: Robert Endre Tarjan
Publisher: SIAM
ISBN: 1611970261
Release Date: 1983
Genre: Algorithms

There has been an explosive growth in the field of combinatorial algorithms. These algorithms depend not only on results in combinatorics and especially in graph theory, but also on the development of new data structures and new techniques for analyzing algorithms. Four classical problems in network optimization are covered in detail, including a development of the data structures they use and an analysis of their running time. Data Structures and Network Algorithms attempts to provide the reader with both a practical understanding of the algorithms, described to facilitate their easy implementation, and an appreciation of the depth and beauty of the field of graph algorithms.

Data Abstraction Problem Solving with C

Author: Frank M. Carrano
Publisher: Pearson
ISBN: 9780134477435
Release Date: 2016-03-14
Genre: Computers

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in C++ Data Structures Concepts of Data Abstraction and Manipulation for C++ Programmers The Seventh Edition of Data Abstraction & Problem Solving with C++: Walls and Mirrors introduces fundamental computer science concepts related to the study of data structures. The text Explores problem solving and the efficient access and manipulation of data and is intended for readers who already have a basic understanding of C++. The “walls and mirrors” mentioned in the title represent problem-solving techniques that appear throughout the text. Data abstraction hides the details of a module from the rest of the program, whereas recursion is a repetitive technique that solves a problem by solving smaller versions of the same problems, much as images in facing mirrors grow smaller with each reflection. Along with general changes to improve clarity and correctness, this Seventh Edition includes new notes, programming tips, and sample problems.

Data Structures and Algorithms in C

Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 9780470383278
Release Date: 2010-12-20
Genre: Computers

An updated, innovative approach to data structures and algorithms Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in C++. The unparalleled author team incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. Offers a unique multimedia format for learning the fundamentals of data structures and algorithms Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design Provides clear approaches for developing programs Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.

An Introduction to the Analysis of Algorithms

Author: Robert Sedgewick
Publisher: Addison-Wesley
ISBN: 9780133373486
Release Date: 2013-01-18
Genre: Computers

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis, combinatorics, algorithms, and data structures. They emphasize the mathematics needed to support scientific studies that can serve as the basis for predicting algorithm performance and for comparing different algorithms on the basis of performance. Techniques covered in the first half of the book include recurrences, generating functions, asymptotics, and analytic combinatorics. Structures studied in the second half of the book include permutations, trees, strings, tries, and mappings. Numerous examples are included throughout to illustrate applications to the analysis of algorithms that are playing a critical role in the evolution of our modern computational infrastructure. Improvements and additions in this new edition include Upgraded figures and code An all-new chapter introducing analytic combinatorics Simplified derivations via analytic combinatorics throughout The book’s thorough, self-contained coverage will help readers appreciate the field’s challenges, prepare them for advanced results—covered in their monograph Analytic Combinatorics and in Donald Knuth’s The Art of Computer Programming books—and provide the background they need to keep abreast of new research. "[Sedgewick and Flajolet] are not only worldwide leaders of the field, they also are masters of exposition. I am sure that every serious computer scientist will find this book rewarding in many ways." —From the Foreword by Donald E. Knuth

Open Data Structures

Author: Pat Morin
Publisher: Athabasca University Press
ISBN: 9781927356388
Release Date: 2013
Genre: Computers

This textbook teaches introductory data structures.

Think Data Structures

Author: Allen B Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491972342
Release Date: 2017-07-07
Genre:

If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering--data structures and algorithms--in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.

Commodity Algorithms and Data Structures in C

Author: Dmytro Kedyk
Publisher: Createspace Independent Publishing Platform
ISBN: 1519572646
Release Date: 2016-04-20
Genre: C++ (Computer program language)

Dmytro's study of software engineering, particularly software economics and developer productivity, influenced this book's emphasis on simplicity and preference for solution methods applicable to a variety of problems.--back cover