Data Structures & Algorithms in Java

Author: Robert Lafore

Publisher: Sams Publishing

ISBN: 9780672324536

Category: Computers

Page: 776

View: 1726

Designed to be easy to read and understand although the topic itself is complicated, this book explains that algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, Lafore includes a workshop as a small demonstration program executable on a Web browser.

Data Structures and Algorithms in Java

Author: Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser

Publisher: John Wiley & Sons

ISBN: 1118771338

Category: Computers

Page: 736

View: 4441

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.

Data Structures and Algorithms in Java

Author: Adam Drozdek

Publisher: Cengage Learning

ISBN: 0534492525

Category: Computers

Page: 650

View: 1584

Using the Java 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Data Structures , Algorithms, And Applications In Java (second Edition)

Author: Sartaj Sahni

Publisher: Universities Press

ISBN: 9788173715235


Page: 872

View: 4805

This new edition provides a comprehensive coverage of fundamental data structures, making it ideal for use in computer science Courses. Real-world applications are a unique feature of this text. Dr. Sahni provides several applications for each data structure and algorithm design method disussed, taking examples from topics such as sorting, compression and coding, and image processing.


Author: Michael T. Goodrich,Roberto Tamassia

Publisher: John Wiley & Sons

ISBN: 9788126515226


Page: 700

View: 5915

Special Features: · Discussion of object-oriented design and the Java programming language, including the Collections Framework and Design Patterns· Coverage of Internet-related topics, including hashing and text processing· Hundreds of exercises categorized by Reinforcement, Creativity, and Projects get students thinking like programmers and applying what they've learned· Offers a unique multimedia format for learning the fundamentals of Data Structures & Algorithms· Outstanding writing style presents even the most difficult mathematical concepts clearly· Animations and powerful art program illustrate data structures and algorithms in a clear visual manner About The Book: · Entirely new chapter on recursion· Additional exercises on the analysis of simple algorithms· New case study on parenthesis matching and HTML validation· Expanded coverage of splay trees· Added examples and programming exercises throughout

Data Structures and Algorithms in C++

Author: Adam Drozdek

Publisher: Cengage Learning

ISBN: 1285415019

Category: Computers

Page: 784

View: 6585

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 and Algorithm Analysis in C++

Author: Mark Allen Weiss

Publisher: Addison-Wesley Longman

ISBN: 9780321441461

Category: Computers

Page: 586

View: 1247

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 Algorithms Made Easy in Java

Data Structure and Algorithmic Puzzles, Second Edition

Author: Narasimha Karumanchi

Publisher: Createspace Independent Pub

ISBN: 9781468101270

Category: Computers

Page: 419

View: 4589

Peeling Data Structures and Algorithms for (Java, Second Edition): * Programming puzzles for interviews * Campus Preparation * Degree/Masters Course Preparation * Instructor's * GATE Preparation * Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more * Reference Manual for working people

Data Structures and Abstractions with Java

Author: Frank M. Carrano,Timothy M. Henry

Publisher: Pearson

ISBN: 9780134831695

Category: Data structures (Computer science)

Page: 960

View: 9929

A relatable and friendly introduction to data structures and their implementation The 5th Edition of Data Structures and Abstractions with Java introduces readers to data structures (CS-2) in a supportive, reader-friendly way. The book's organization, sequencing, and pace of topic coverage make teaching and learning easier by: Focusing the reader's attention on one concept at a time Providing flexibility in the order in which one can cover topics Clearly separating the specification of each abstract data type (ADT) from its implementation Placing relevant coverage of Java into Java Interludes, which you can use as needed. To increase readability and learning potential, the numbered segments and modular presentation provide a flexible, customizable pathway through the material and focus the reader's attention on one concept at a time. Numerous examples that mimic real-world situations provide a context for the new material and help to make it easier for audiences to learn and retain abstract concepts. The 5th Edition has a revamped structure and additional pedagogical tools to assist in mastering concepts.

Data Structures and Algorithm Analysis in Java, Third Edition

Author: Clifford A. Shaffer

Publisher: Courier Corporation

ISBN: 0486173569

Category: Computers

Page: 608

View: 1286

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 Made Easy

Data Structure and Algorithmic Puzzles, Second Edition

Author: Narasimha Karumanchi

Publisher: Careermonk Publications

ISBN: 9788192107547

Category: Computers

Page: 428

View: 9781

Peeling Data Structures and Algorithms for interviews [re-printed with corrections and new problems]: "Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists. A handy guide of sorts for any computer science professional, "Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues, Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts. Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems. What is unique? Our main objective isn't to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we enumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities. Topics Covered: IntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language? All code was written in C/C++. If you are using Java, please search for "Data Structures and Algorithms Made Easy in Java." Also, check out sample chapters and the blog at:

Data Structures and Algorithms in Java

Author: Peter Drake

Publisher: N.A

ISBN: 9780133437683

Category: Computer algorithms

Page: 592

View: 347

This new book provides a concise and engaging introduction to Java and object-oriented programming with an abundance of original examples, use of Unified Modeling Language throughout, and coverage of the new Java 1.5. Addressing critical concepts up front, the book's five-part structure covers object-oriented programming, linear structures, algorithms, trees and collections, and advanced topics. KEY FEATURES: "Data Structures and Algorithms in Java" takes a practical approach to real-world programming and introduces readers to the process of crafting programs by working through the development of projects, often providing multiple versions of the code and consideration for alternate designs. The book features the extensive use of games as examples; a gradual development of classes analogous to the Java Collections Framework; complete, working code in the book and online; and strong pedagogy including extended examples in most chapters along with exercises, problems and projects. For readers and professionals with a familiarity with the basic control structures of Java or C and a precalculus level of mathematics who want to expand their knowledge to Java data structures and algorithms. Ideal for a second undergraduate course in computer science.

Data Structures and Algorithms in C++, 2nd Edition

Author: Michael T. Goodrich,Roberto Tamassia,David M. Mount

Publisher: Wiley Global Education

ISBN: 1118136632

Category: Computers

Page: 744

View: 5734

Building on the success of Data Structures and Algorithms in Java, Goodrich/Tamassia/Mount Data Structures and Algorithms In C++ 2e offers an innovative approach to fundamental data structures and algorithms. The text incorporates the object-oriented design paradigm using C++ as the implementation language, while also providing intuition and analysis of fundamental algorithms. The authors' highly visual approach and extensive suite of web-based learning and teaching tools give students the opportunity visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design.

Think Data Structures

Algorithms and Information Retrieval in Java

Author: Allen B Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1491972343


Page: N.A

View: 6355

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.

Data Structures and Algorithms in Python

Author: Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser

Publisher: Wiley Global Education

ISBN: 1118476735

Category: Computers

Page: 748

View: 3194

Based on the authors’ market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

Learning JavaScript Data Structures and Algorithms

Author: Loiane Groner

Publisher: Packt Publishing Ltd

ISBN: 178355388X

Category: Computers

Page: 314

View: 1701

Hone your skills by learning classic data structures and algorithms in JavaScript About This Book Understand common data structures and the associated algorithms, as well as the context in which they are used. Master existing JavaScript data structures such as array, set and map and learn how to implement new ones such as stacks, linked lists, trees and graphs. All concepts are explained in an easy way, followed by examples. Who This Book Is For If you are a student of Computer Science or are at the start of your technology career and want to explore JavaScript's optimum ability, this book is for you. You need a basic knowledge of JavaScript and programming logic to start having fun with algorithms. What You Will Learn Declare, initialize, add, and remove items from arrays, stacks, and queues Get the knack of using algorithms such as DFS (Depth-first Search) and BFS (Breadth-First Search) for the most complex data structures Harness the power of creating linked lists, doubly linked lists, and circular linked lists Store unique elements with hash tables, dictionaries, and sets Use binary trees and binary search trees Sort data structures using a range of algorithms such as bubble sort, insertion sort, and quick sort In Detail This book begins by covering basics of the JavaScript language and introducing ECMAScript 7, before gradually moving on to the current implementations of ECMAScript 6. You will gain an in-depth knowledge of how hash tables and set data structure functions, as well as how trees and hash maps can be used to search files in a HD or represent a database. This book is an accessible route deeper into JavaScript. Graphs being one of the most complex data structures you'll encounter, we'll also give you a better understanding of why and how graphs are largely used in GPS navigation systems in social networks. Toward the end of the book, you'll discover how all the theories presented by this book can be applied in real-world solutions while working on your own computer networks and Facebook searches. Style and approach This book gets straight to the point, providing you with examples of how a data structure or algorithm can be used and giving you real-world applications of the algorithm in JavaScript. With real-world use cases associated with each data structure, the book explains which data structure should be used to achieve the desired results in the real world.

Beginning Java Data Structures and Algorithms

Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner

Author: James Cutajar

Publisher: Packt Publishing Ltd

ISBN: 1789533759

Category: Computers

Page: 202

View: 5929

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.

Data Structures & Algorithm Analysis in C++

Author: Clifford A. Shaffer

Publisher: Courier Corporation

ISBN: 048648582X

Category: Computers

Page: 594

View: 1096

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


Author: Robert Sedgewick,Kevin Wayne

Publisher: Addison-Wesley Professional

ISBN: 0133799107

Category: Computers

Page: 530

View: 1967

This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms , the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.

Object-Oriented Data Structures Using Java

Author: Nell Dale,Daniel T. Joyce,Chip Weems

Publisher: Jones & Bartlett Publishers

ISBN: 1449613543

Category: Computers

Page: 799

View: 435

Data Structures & Theory of Computation