Data Structures, Algorithms, and Applications in Java PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Structures, Algorithms, and Applications in Java PDF full book. Access full book title Data Structures, Algorithms, and Applications in Java by Sartaj Sahni. Download full books in PDF and EPUB format.
Author: Sartaj Sahni
Publisher:
ISBN: 9780929306339
Category : Algorithms
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Sartaj Sahni
Publisher:
ISBN: 9780929306339
Category : Algorithms
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Michael T. Goodrich
Publisher: John Wiley & Sons
ISBN: 1118771338
Category : Computers
Languages : en
Pages : 736
Get Book Here
Book Description
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.
Author: Sartaj Sahni
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 882
Get Book Here
Book Description
Sahni's "DATA STRUCTURES, ALGORITHMS, and APPLICATIONS in JAVA is designed to be used in a second course in computer science (CS2). Using Java, this book provides comprehensive coverage of the fundamental data structures, making it an excellent choice for a CS2 course. The author has made this book student-friendly through intuitive discussion, real-world, applications and a gentle introduction. Sahni is unique in providing several real-world applications for each data structure presented in the book. These applications come from such areas as Sorting, compression and coding, and image processing. These applications give students a flavor for the sorts of things they will be able to do with the data structures that they are learning. Almost 1,000 exercises in this text serve to reinforce concepts and get students applying what they are learning. Sahni's text is also accompanied by a web site containing all the programs in the book, as well as sample data, generated output, solutions to selected exercises, and enhanced discussion of selected material in the text.
Author: Wiley
Publisher: John Wiley & Sons
ISBN: 9788126512263
Category :
Languages : en
Pages : 660
Get Book Here
Book Description
Market_Desc: · Computer Programmers· Software Engineers· Scientists Special Features: · Focused coverage of the most-used data structures and algorithms· Expanded discussion of object-oriented design and the Java programming language, including the Collections Framework and Design Patterns· Expanded coverage of Internet-related topics, including hashing and text processing About The Book: In this book, the authors incorporate the object-oriented design paradigm using java as the implementation language, while also providing intuition and analysis of fundamental data structures and algorithms. All this is done in a clear, friendly writing style that uses pictures and simplified mathematical analyses to justify important analytic concepts.
Author: Jay Wengrow
Publisher: Pragmatic Bookshelf
ISBN: 1680508059
Category : Computers
Languages : en
Pages : 714
Get Book Here
Book Description
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today’s web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You’ll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your code faster and more scalable.
Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 1491972319
Category : Computers
Languages : en
Pages : 149
Get Book Here
Book Description
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.
Author: James Cutajar
Publisher: Packt Publishing Ltd
ISBN: 1789533759
Category : Computers
Languages : en
Pages : 196
Get Book Here
Book Description
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 Description Learning 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 for If 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.
Author: Debasish Ray Chawdhuri
Publisher: Packt Publishing Ltd
ISBN: 1785888072
Category : Computers
Languages : en
Pages : 340
Get Book Here
Book Description
Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient code About This Book This book provides complete coverage of reactive and functional data structures Based on the latest version of Java 9, this book illustrates the impact of new features on data structures Gain exposure to important concepts such as Big-O Notation and Dynamic Programming Who This Book Is For This book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What You Will Learn Understand the fundamentals of algorithms, data structures, and measurement of complexity Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists Get a grasp on the basics of abstract data types—stack, queue, and double ended queue See how to use recursive functions and immutability while understanding and in terms of recursion Handle reactive programming and its related data structures Use binary search, sorting, and efficient sorting—quicksort and merge sort Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much more In Detail Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more! Style and approach This book will teach you about all the major algorithms in a step-by-step manner. Special notes on the Big-O Notation and its impact on algorithms will give you fresh insights.
Author: Clifford A. Shaffer
Publisher: Courier Corporation
ISBN: 0486173569
Category : Computers
Languages : en
Pages : 607
Get Book Here
Book Description
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.
Author: Nell Dale
Publisher: Jones & Bartlett Publishers
ISBN: 1449613543
Category : Computers
Languages : en
Pages : 823
Get Book Here
Book Description
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. New and Key Features to the Third Edition: -Includes the use of generics throughout the text, providing the dual benefits of allowing for a type safe use of data structures plus exposing students to modern approaches. -This text is among the first data structures textbooks to address the topic of concurrency and synchonization, which are growing in the importance as computer systems move to using more cores and threads to obtain additional performance with each new generation. Concurrency and synchonization are introduced in the new Section 5.7, where it begins with the basics of Java threads. -Provides numerous case studies and examples of the problem solving process. Each case study includes problem description, an analysis of the problem input and required output, and a discussion of the appropriate data structures to use. -Expanded chapter exercises allow you as the instructor to reinforce topics for your students using both theoretical and practical questions. -Chapters conclude with a chapter summary that highlights the most important topics of the chapter and ties together related topics.
