Data Structures and Algorithms in Java

Author: Adam Drozdek

Publisher: Cengage Learning

ISBN: 0534492525

Category: Computers

Page: 650

View: 5039

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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 and Algorithms Using Java

Author: William McAllister

Publisher: Jones & Bartlett Publishers

ISBN: 1449660967

Category: Computers

Page: 580

View: 6048

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With an accessible writing style and manageable amount of content, Data Structures and Algorithms Using Java is the ideal text for your course. This outstanding text correlates to the recommended syllabus put forth by the Association of Computing Machinery standard curriculum guidelines. The author has produced a resource that is more readable and instructional than any other, without compromising the scope of the ACM CS103, Data Structures and Algorithms, course material. The text’s unique, student-friendly pedagogical approach and organizational structure will keep students engaged in the process of self-directed investigative discovery both inside and outside the classroom. 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, nearly 300 carefully designed figures, and a concise review of Java.

A Practical Guide to Data Structures and Algorithms using Java

Author: Sally. A Goldman,Kenneth. J Goldman

Publisher: CRC Press

ISBN: 1420010336

Category: Computers

Page: 1056

View: 2754

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Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to conventional data structures and algorithms books, A Practical Guide to Data Structures and Algorithms using Java presents comprehensive coverage of fundamental data structures and algorithms in a unifying framework with full implementation details. Recognizing that software development is a top-down process, this applications-centered book provides careful guidance to students and practitioners. Complete and thoroughly integrated Java implementations expose key differences among a wide range of important data structures, including many useful abstract data types not provided in standard Java libraries. Fundamental algorithms appear within the context of their supporting data structures. Case studies, examples, decision trees, and comparison charts throughout the stylized presentation illustrate and support an efficient methodology for the careful selection and application of data structures and algorithms. Appendices summarize major features of the Java programming language, introduce asymptotic notation and complexity analysis, and discuss design patterns applied in the book. A true marriage of theory and practice, this book sets a new standard as a comprehensive practical guide to data structures and algorithms. Practitioners and students will reach for this book often to quickly identify the best data structure or algorithm for their applications.

First Course

Data Structures and Algorithms Using Java

Author: Edward Hill

Publisher: iUniverse

ISBN: 0595318967

Category: Computers

Page: 108

View: 4985

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Data Structures and Algorithms Using Java covers introductory topics on linked stacks, linked queues, linked deques, lists, trees, hashing, text processing, file structures, and inverted files. Data structures and their use in programming are emphasized. The high level programming language Java used as a tool supports designs and implementations of data structures. This applies data structures and improves programming skills in the high level programming language. High level language use with data structures empowers thinking necessary to think links. This empowerment paradigm uses a data structure model (DSM)to emulate a few constructs from the List Processing (LISP) language. Each data structure in the model uses a sequential order to show the relationships and differences in the data structures.

How To Program

How to create software using data structures and algorithms in Java

Author: Walter Milner

Publisher: Walter Milner

ISBN: N.A

Category: Computers

Page: 177

View: 7085

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This text teaches how to design and create computer programs, for students new to programming. It focuses on the ideas of data structure, algorithm, and object-oriented programming. It uses Java as the programming language. Java features are introduced as they are needed to solve programming problems. Programming is approached as a problem-solving process, and a program is seen as a solution to a problem. Concepts are introduced in a carefully considered sequence, and frequently re-visited to reinforce and refine ideas. Numerous practical exercises are provided.

Problem Solving in Data Structures and Algorithms Using Java

The Ultimate Guide to Programming

Author: Hemant Jain

Publisher: Createspace Independent Publishing Platform

ISBN: 9781539724124

Category:

Page: 436

View: 5983

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This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a JAVA language developer. You are not an expert in JAVA language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the JAVA language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.

Data Structures & Algorithms in Java

Author: Robert Lafore

Publisher: Sams Publishing

ISBN: 9780672324536

Category: Computers

Page: 776

View: 8619

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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.

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: 5159

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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

Abstraction and Design Using Java

Author: Elliot B. Koffman,Paul A. T. Wolfgang

Publisher: John Wiley & Sons

ISBN: 0470128704

Category: Computers

Page: 803

View: 7122

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This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They’ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.

Data Structures and Algorithms in Java

Author: Michael T. Goodrich,Roberto Tamassia

Publisher: John Wiley & Sons Incorporated

ISBN: N.A

Category: Computers

Page: 681

View: 5985

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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. Java code examples used extensively throughout, with source code provided on the Web site. ? 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.

Algorithmen

Author: Robert Sedgewick

Publisher: Pearson Studium

ISBN: 9783827370327

Category: Algorithmus - Lehrbuch

Page: 742

View: 3167

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Data Structures and Algorithms Using C#

Author: Michael McMillan

Publisher: Cambridge University Press

ISBN: 0521670152

Category: Computers

Page: 355

View: 7732

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Michael McMillan discusses the implementation of data structures and algorithms from the .NET framework. The comprehensive text includes basic data structures and algorithms plus advanced algorithms such as probabilistic algorithms and dynamics programming.

DATA STRUCTURES AND ALGORITHMS IN JAVA, 2ND ED

Author: Wiley

Publisher: John Wiley & Sons

ISBN: 9788126512263

Category:

Page: 656

View: 9407

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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.

Data Structures and Other Objects Using Java

Author: Michael Main

Publisher: Addison-Wesley

ISBN: 9780321375254

Category: Computers

Page: 806

View: 9853

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Takes a gentle approach to learning data structures using the Java programming language. Providing an early, self-contained review of object-oriented programming and Java, this text gives readers a firm grasp of key concepts and allows those experienced in another language to adjust easily. It has a solid foundation in building and using abstract data types, along with an assortment of advanced topics such as B-trees for project building and graph. It incorporates Java 5.0 including the use of scanner class and generic data types (generics). MARKET: This book is if for anyone interested in learning how to write effective data structures using the Java 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: 9034

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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: CareerMonk.com

Data Structures And Algorithms

Made Easy.

Author: Harry. H. Chaudhary.

Publisher: Programmers Mind LLC New York.

ISBN: N.A

Category: Computers

Page: 250

View: 387

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Features of Book - Essential Data Structures Skills -- Made Easy! All Code/Algo written in C Programming. || Learn with Fun strategy. Anyone can comfortably follow this book to Learn DSA Step By Step. Unique strategy- Concepts, Problems, Analysis, Questions, Solutions. Why This Book - This book gives a good start and complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Learn all Concept’s Clearly with World Famous Programmer Harry Chaudhary. Main Objective - Data structures is concerned with the storage, representation and manipulation of data in a computer. In this book, we discuss some of the more versatile and popular data structures used to solve a variety of useful problems. Among the topics are linked lists, stacks, queues, trees, graphs, sorting and hashing. What Special - Data Structures & Algorithms Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is alsoprovided. Using C, this book develops the concepts & theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. This is a handy guide of sorts for any computer science Students, This book is a solution bank for various problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. This Book also covers all aspects of CS, IT. Special Note: Digital Pdf Edition || Epub Edition is Available on Google Play & Books. less

Data Structures and Algorithms Made Easy in Java

Data Structure and Algorithmic Puzzles, Second Edition

Author: Narasimha Karumanchi

Publisher: N.A

ISBN: 9788192107554

Category:

Page: 438

View: 342

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Video Link: youtube.com/watch?v=l_GRquIrVyg A handy guide of sorts for any computer science professional, "Data Structures And Algorithms Made Easy in Java: 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 in Java: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems. Peeling Data Structures and Algorithms for (Java, Second Edition): Programming puzzles for interviewsCampus PreparationDegree/Masters Course PreparationInstructor'sBig job hunters: Microsoft, Google, Apple, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Face book, McAfee and many moreReference Manual for working people 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 ennumerated 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 Java. If you are using C/C++, please search for "Data Structures and Algorithms Made Easy." Also, check out sample chapters and the blog at: CareerMonk.com

Data Structures & Algorithm Analysis in Java

Author: Mark Allen Weiss

Publisher: Addison Wesley

ISBN: 9780201357547

Category: Computers

Page: 542

View: 8896

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Mark Allen Weiss provides a proven approach to algorithms and data structures using the exciting Java programming language as the implementation tool. With Java he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as performance and running time. Dr. Weiss also distinguishes this text with a logical organization of topics, his engaging writing style, and an extensive use of figures and examples showing the successive stages of an algorithm. Features Contains extensive sample code using Java 1.2, which is available over the Internet. Covers the Java Collections Library in an appendix. Includes a chapter on algorithm and design techniques that covers greedy algorithms, divide-and-conquer algorithms, dynamic programming, randomized algorithms, and backtracking. Presents current topics and new data structures such as Fibonacci heaps, skew heaps, binomial queues, skip lists, and splay trees. Offers a chapter on amortized analysis that examines the advanced data structures presented earlier in the book. Provides a chapter on advanced data structures and their implementation, covering red-black trees, top-down splay trees, treaps, k-d trees, pairing heaps, and more. 0201357542B04062001