Applying Data Structures
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Applying Data Structures
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Author : Theodore Gyle Lewis
language : en
Publisher:
Release Date : 1982
Applying Data Structures written by Theodore Gyle Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Data structures (Computer science) categories.
Applied Data Structures With C
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Author : Peter Smith
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2004
Applied Data Structures With C written by Peter Smith and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Data Structures & Theory of Computation
Data Structures And Algorithms In C
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Author : Michael T. Goodrich
language : en
Publisher:
Release Date : 2004
Data Structures And Algorithms In C written by Michael T. Goodrich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.
Writing with a consistent object-oriented viewpoint, the authors put an emphasis on design and analysis with carefully developed C++ code and corresponding concepts.
Handbook Of Data Structures And Applications
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Author : Dinesh P. Mehta
language : en
Publisher: Taylor & Francis
Release Date : 2018-02-21
Handbook Of Data Structures And Applications written by Dinesh P. Mehta and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-21 with Computers categories.
The Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition. The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
A Practical Guide To Data Structures And Algorithms Using Java
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Author : Sally. A Goldman
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2007-08-23
A Practical Guide To Data Structures And Algorithms Using Java written by Sally. A Goldman and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-23 with Computers categories.
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.
Everyday Data Structures
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Author : William Smith
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-03-14
Everyday Data Structures written by William Smith and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-14 with Computers categories.
A practical guide to learning data structures simply and easily About This Book This book is a very practical, friendly, and useful guide that will help you analyze problems and choose the right data structures for your solution Learn to recognize data patterns for determining which structures apply to a given problem Explore the unique rules or "gotchas" that will help you become an excellent programmer Who This Book Is For If you're self-taught programmers in any language who wants to gain a solid understanding of data structures and how to use them to solve real-world problems in your day-to-day development work, then this book is for you. What You Will Learn A rapid overview of data types, applications for each type, best practices and high-level variations between platforms Review the most common data structures and build working examples in the languages used for mobile platform software development Understand advanced data structure concepts such as generic collections, searching and sorting algorithms, and recursion Learn to use Stacks (LIFO) and queues (FIFO) in your daily application Add/remove objects and nest arrays and dictionaries within another dictionary and understand why such architecture is often preferred or necessary Get acquainted with the tree structures such as heap, binary, and graphs, apply them to work Unleash the power of different sorting techniques such as bubble sort, quick sort, merge sort, insertion sort, and radix sort Perform searching operations on arrays, heaps, graphs, and binary trees in different languages In Detail If you want to learn different data structures and their real-world applications quickly through practical examples, then Everyday Data Structures is for you. This book can introduce you to new data structures and their potential applications through examples in languages common to mobile software development on the most popular platforms. The examples are presented with real-world concepts using language that everyone will understand. This book is logically divided into two parts; the first one covers the basic data structures that are built into most languages such as Objective-C, C#, Java, and Swift. It will cover detailed analysis of the common data structures such as arrays, lists, stacks, Queues, and heaps, typical applications, and specific concerns for each language. Each chapter will provide in-depth examples in several popular languages based on real-world applications. The second part will cover more advanced data structures such as generic collections, sorting, searching, and recursion and ways to use those structures in everyday applications. Style and approach This is a practical, result-focused guide, which is easy to follow, but also fast-paced and really satisfying with full of examples.
Data Structures Demystified
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Author : Jim Keogh
language : en
Publisher: McGraw Hill Professional
Release Date : 2004-03-15
Data Structures Demystified written by Jim Keogh and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-15 with Computers categories.
Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this “algebra of programming.”
Data Structures
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Author : Elliot B. Koffman
language : en
Publisher: John Wiley & Sons
Release Date : 2010-01-26
Data Structures written by Elliot B. Koffman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-26 with Computers categories.
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 Using Java
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Author : Yedidyah Langsam
language : en
Publisher: Prentice Hall
Release Date : 2003
Data Structures Using Java written by Yedidyah Langsam and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Abstract data types (Computer science) categories.
This book employs an object-oriented approach to teaching data structures using Java. Many worked examples and approximately 300 additional examples make this book easily accessible to the reader. Most of the concepts in the book are illustrated by several examples, allowing readers to visualize the processes being taught. Introduces abstract concepts, shows how those concepts are useful in problem solving, and then shows the abstractions can be made concrete by using a programming language. Equal emphasis is placed on both the abstract and the concrete versions of a concept, so that the reader learns about the concept itself, its implementation, and its application. For anyone with an interest in learning more about data structures.
The Bible Of Algorithms And Data Structures
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Author : Florian Dedov
language : en
Publisher:
Release Date : 2020-08-22
The Bible Of Algorithms And Data Structures written by Florian Dedov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-22 with categories.
The Most Important Skill in Computer Science! The field of algorithms and data structures is one of the most important in computer science. You will rarely be invited to a coding interview at Google, Microsoft or Facebook and not be asked questions about it. This is because these companies know how valuable the skills taught are. It doesn't matter if you are into machine learning, ethical hacking, cyber security or enterprise software engineering. You will always need to be able to work with algorithms and data structures. However, this field is also by many considered to be one of the hardest, since it is so abstract and complex. This is mainly due to the style in which it is taught. Most professors in colleges focus on exact mathematical definitions instead of understanding. And while you can't blame them for doing their job, there are better ways to learn about this subject. This book is for everyone who is interested in an intuitive and simple approach to algorithms and data structures. It is for everyone who is frustrated with memorizing dry formal definitions. This bible covers all the formal definitions that are important and necessary but it mainly focuses on breaking complex things down in a simple way. At the end, you will not only know how to formally analyze algorithms but you will also deeply understand what is happening behind the scenes and why things are the way they are. After Reading This Book You Will Have The Following Skills: - Intuitive understanding of algorithms and data structures - Analyzing the runtime complexity of algorithms - Using the Big O notation - Dissecting and analyzing sorting algorithms (Bubble Sort, Merge Sort, Quick Sort...) - Understanding and applying graph theory and related algorithms (BFS, DFS, Kruskal, Dijkstra) - Understanding basic data structures and their time complexities (Linked Lists, Stacks, Heaps, Trees...) - Using self-balancing trees (AVL, B-Tree...) - Understanding and applying hashing and collision resolution Master Algorithms and Data Structure Simply and Intuitively!