Data structures problem solving (176 Ergebnisse)

Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform (edition ), 2015
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Hardback. Zustand: Good. 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.…

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Hardback. Zustand: Good. Uses Java to teach data structures and algorithms from the perspective of abstract thinking and problem solving. The text contains extensive sample code using Java 1.1 which is available over the Internet and has been tested and reviewed by a professional programmer.

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Hardback. Zustand: Good. Data Structures and Problem Solving Using Java, Second Edition provides an introduction to data structures and algorithms from the viewpoint of abstract thinking and problem solving, as well as the use of Java.

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Sprache: Englisch
Verlag: Benjamin-Cummings Publishing Company (edition First Edition), 1986
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Sprache: Englisch
Verlag: Franklin, Beedle & Associates, Incorporated, 2005
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Paperback. Zustand: Very Good. Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application. Key Features Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures Covers over 20 topics using 15 practical activities and exercises Book DescriptionLearning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You?ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.What you will learn Understand some of the fundamental concepts behind key algorithms Express space and time complexities using Big O notation. Correctly implement classic sorting algorithms such as merge and quicksort Correctly implement basic and complex data structures Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming Apply powerful string matching techniques and optimize your application logic Master graph representations and learn about different graph algorithms Who this book is forIf you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.…

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Paperback. Zustand: Good. THIS TEXTBOK is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.…

Sprache: Englisch
Verlag: Pearson Higher Education & Professional Group, 1991
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Sprache: Englisch
Verlag: Franklin, Beedle & Associates (edition 2nd), 2011
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