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Books : Computers & Internet : Programming : Algorithms : Data Structures
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Data Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book more useful to readers.
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This book successfully balances the introduction of object-oriented concepts with data structures in C++. KEN TOPICS:Provides interfaces for the principal example classes, which are compliant with the ANSI/ISO C++ Standard Library classes. Thorough coverage of the role of the const keyword in the C++ Standard Library. Covers C++ features such as namespaces, static member constants, typename keyword, and inheritance. Thorough review of C++ syntax and OOP concepts, making book accessible for programmers at various levels. The book also gives readers a firm grasp of key concepts and allows programmers experienced in another language to adjust easily. A solid foundation in building and using abstract data types is also provided, along with an assortment of advanced topics such as B-trees for project building and graphs. This book is designed for novice programmers who have learned the concepts of objects and classes and want to move on to the data structures topics of recursion and data abstraction.
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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 Abstractions with Java, 3e, is ideal for one- or two-semester courses in data structures (CS-2) in the departments of Computer Science, Computer Engineering, Business, and Management Information Systems.
This is the most student-friendly data structures text available that introduces ADTs in individual, brief chapters — each with pedagogical tools to help students master each concept.¿Using the latest features of Java, this unique object-oriented presentation makes a clear distinction between specification and implementation to simplify learning, while providing maximum classroom flexibility.
Author Frank Carrano's Making it Real blog http://frank-m-carrano.com/blog/ extends his textbooks and lectures to a lively discussion with instructors and students about teaching and learning computer science.
Follow Frank on Twitter: http://twitter.com/Frank_M_Carrano
Find him on Facebook: https://www.facebook.com/makingitreal
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In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). 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.
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Most books on data structures assume an imperative language such as C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
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In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. This new edition contains all the enhancements of the new Java 5.0 code including detailed examples and an implementation of a large subset of the Java 5.0 Collections API. 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.
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This latest edition of the best-selling implementation guide to the Structured Query Language teaches SQL fundamentals while providing practical solutions for critical business applications. The Practical SQL Handbook, Fourth Edition now includes expanded platform SQL coverage and extensive real-world examples based on feedback from actual SQL users.
The Practical SQL Handbook begins with a step-by-step introduction to SQL basics and examines the issues involved in designing SQL-based database applications. It fully explores SQLs most popular implementations from industry leaders, Oracle, Microsoft, Sybase, and Informix.
Highlights include:
- Detailed coverage of SQL commands for creating databases, tables, and indexes, and for
- adding, changing, and deleting data
- Using the SELECT command to retrieve specific data
- Handling NULL values (missing information) in a relational database
- Joining tables, including self joins and outer joins (ANSI and WHERE-clause syntax)
- Working with nested queries (subqueries) to get data from multiple tables
- Creating views (virtual tables) to provide customized access to data
- Using SQL functions
A bonus CD-ROM contains a time-limited, full-feature version of the Sybase® Adaptive Server Anywhere™ software as well as the sample database, scripts, and examples included in the book.
The Practical SQL Handbook is the most complete reference available for day-to-day SQL implementations.
0201703092B05222001
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Continuing the success of the popular second edition, the updated and revised Object-Oriented Data Structures Using Java, Third Edition is sure to be an essential resource for students learning data structures using the Java programming language. It presents traditional data structures and object-oriented topics with an emphasis on problem-solving, theory, and software engineering principles. Beginning early and continuing throughout the text, the authors introduce and expand upon the use of many Java features including packages, interfaces, abstract classes, inheritance, and exceptions. Numerous case studies provide readers with real-world examples and demonstrate possible solutions to interesting problems. The authors' lucid writing style guides readers through the rigor of standard data structures and presents essential concepts from logical, applications, and implementation levels. Key concepts throughout the Third Edition have been clarified to increase student comprehension and retention, and end-of-chapter exercises have been updated and modified.
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The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.
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Data Structures and Other Objects Using Java is a gradual, "just-in-time" introduction to Data Structures for a CS2 course.
Each chapter provides a review of the key aspects of object-oriented programming and a syntax review, giving students the foundation for understanding significant programming concepts. With this framework they are able to accomplish writing functional data structures by using a five-step method for working with data types; understanding the data type abstractly, writing a specification, using the data type, designing and implementing the data type, and analyzing the implementation. Students learn to think analytically about the efficiency and efficacy of design while gaining exposure to useful Java classes libraries.
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Using the C++ programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system.
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Written By Renowned Author And Educator Nell Dale, C++ Plus Data Structures, Fifth Edition Explores The Specifications, Applications, And Implementations Of Abstract Data Types With Unmatched Accessibility. Updated With New Case Studies And Exercises Throughout, This Edition Provides Intuitive Explanations That Clarify Abstract Concepts, And Approaches The Study Of Data Structures With Emphasis On Computer Science Theory And Software Engineering Principles. Topics Such As Modularization, Data Encapsulation, Information Hiding, Object-Oriented Decomposition, Algorithm Analysis, Life-Cycle Software Verification Models, And Data Abstraction Are Carefully Presented To Foster Solid Software Engineering Techniques. In Addition To Real-World Exercises And Case Studies That Define Nell Dale S Teaching Philosophy, This Fifth Edition Provides An Increased Emphasis On Object-Oriented Design And An Early Introduction Of Object-Oriented Concepts. New And Key Features: Object-Oriented Terminology Now Dominates Computing Vocabulary. Dale Was Careful To Update All ADT Names To Reflect This Terminology. Additional Exercises Have Been Added To Most Chapters. The Fifth Edition Features The Trademark Dale Pedagogy And Highlights Numerous Real-World, Updated Case Studies. Each Broad Case Study Includes A Description Of The Problem, An Analysis Of The Problems Input And Required Output, And A Discussion Of Th
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Using the power of technology to go beyond the borders of the printed page, Goodrich and Tamassia have created a book that is conceptually elegant and innovative. It incorporates the object-oriented design paradigm, using Java as the implementation language while also providing the fundamental intuition and analysis of each data structure studied.
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Mark Allen Weiss' successful book provides a modern approach to algorithms and data structures using the C programming language. The book's conceptual presentation focuses on ADTs and the analysis of algorithms for efficiency, with a particular concentration on performance and running time. The second edition contains a new chapter that examines advanced data structures such as red black trees, top down splay trees, treaps, k-d trees, and pairing heaps among others. All code examples now conform to ANSI C and coverage of the formal proofs underpinning several key data structures has been strengthened.
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This book uses a modern object-oriented approach to data structures, unified around the notion of the Standard Template Library (STL) container classes. The book presents a systematic development of data structures supported by numerous examples and complete programs. The authors separate the applications of a data structure from its implementation. Includes an applied study of interesting and classical algorithms that illustrate the data structures using only simple mathematical concepts (Big-O notation is introduced intuitively); Many additional figures are integrated into the presentation; ADT (Abstract Data Type) for each data structure—immediately used to solve appropriate problems; Early and accessible introduction to templates and iterators; Use of modern C++ constructs in developing data structures and their applications provides enough language detail to sufficiently understand the constructs.
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Ada Plus Data Structures is the most up-to-date, student-friendly Ada text available. Using the newly updated Ada 2005, the text introduces and discusses such familiar topics as strings, sets, stacks, queues, lists, trees, graphs, and much more. The recurring theme throughout the text is modeling with levels of abstraction, presenting each class from three different perspectives: their specification, their abstraction, and their implementation. Using this approach, the authors stress computer science theory and software engineering principles including information hiding, data encapsulation, data abstraction, stepwise refinement, and visual aids. With its Object-Oriented presentation, real-world applications, and traditional Dale Pedagogy, Ada Plus Data Structures is a pleasure to read and learn from.
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Designed to function as a textbook or as a professional reference, "Fundamentals of Data Structures in C" provides in-depth coverage of all aspects of data structure implementation in ANSI C. The book goes beyond the standard fare of stacks, queues, and lists to offer such features as afull chapter on search structures and a discussion of advanced tree structures. Recent data structure innovations rarelv found in other texts are presented, including Fibonacci Heaps, Splay Trees, Red-Black Trees, 2-3 Trees, 2-3-4 Trees, Leftist Trees, Binokcal Heaps, Min-Max Heaps, and Deaps.
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The classic, best-selling Data Abstraction and Problem Solving with C++: Walls and Mirrors book provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-oriented approach. This new edition offers the latest C++ features and an introduction to using Doxygen——a documentation generator for C++, enhanced coverage of Software Engineering concepts and additional UML diagrams.
Frank’s Making it Real blog http://frank-m-carrano.com/blog/ extends his textbooks and lectures to a lively discussion with instructors and students about teaching and learning computer science.
Follow Frank on Twitter: http://twitter.com/Frank_M_Carrano
Find him on Facebook: https://www.facebook.com/makingitreal
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With an accessible writing style and manageable content, Data Structures and Algorithms using Java is the ideal text for your course. It covers the entire recommended syllabus put forth by the Association of Computing Machinery (ACM) standard curriculum guidelines for "Algorithms and Data Structures." The authors main motivation for writing the text was to produce a text that was more readable and instructional than those currently in print without compromising the scope of the CS103 course material. McAllister does just that with his unique student-friendly pedagogical approach and organizational structure. The pedagogical features of the text, based on the author's 30 years of teaching experience, include succinct code examples, a unique common template used as the organizational basis of each chapter, the use of pseudocode to present the major algorithms developed in the text, 300 carefully designed figures, and a review of Java.