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Mastering Data Structures Through C Language
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Book Synopsis Mastering Data Structures Through C Language by : J. B. Dixit
Download or read book Mastering Data Structures Through C Language written by J. B. Dixit and published by Laxmi Publications, Ltd.. This book was released on 2010-08 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mastering Algorithms with C by : Kyle Loudon
Download or read book Mastering Algorithms with C written by Kyle Loudon and published by "O'Reilly Media, Inc.". This book was released on 1999 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implementations, as well as interesting, real-world examples of each data structure and algorithm, are shown in the text. Full source code appears on the accompanying disk.
Book Synopsis Data Structures Using C & C++ by : Rajesh K. Shukla
Download or read book Data Structures Using C & C++ written by Rajesh K. Shukla and published by . This book was released on 2009-07-01 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich
Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Structures Through C++ by : Yashavant Kanetkar
Download or read book Data Structures Through C++ written by Yashavant Kanetkar and published by BPB Publications. This book was released on 2019-11-12 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the fundamentals of Data Structures through C++ DESCRIPTION There are two major hurdles faced by anybody trying to learn Data Structures : Most books attempt to teach it using algorithms rather than complete working programs. A lot is left to the imagination of the reader, instead of explaining it in detail. This is a different Data Structures book. It uses C++ language to teach Data Structures. Secondly, it goes far beyond merely explaining how Stacks, Queues and Linked Lists work. The readers can actually experience (rather than imagine) sorting of an array, traversing of a doubly-linked list, construction of a binary tree, etc. through carefully crafted animations that depict these processes. All these animations are available on the Downloadable DVD. In addition, it contains numerous carefully-crafted figures, working programs and real-world scenarios where different data structures are used. This would help you understand the complicated operations being performed on different data structures easily. Add to that the customary lucid style of Yashavant Kanetkar and you have a perfect Data Structures book in your hands. KEY FEATURES ¥Ê Ê Ê Strengthens the foundations, as a detailed explanation of concepts are givenÊ ¥Ê Ê Ê Focuses on how to think logically to solve a problem ¥Ê Ê Ê Algorithms used in the book are well explained and illustrated step by step ¥Ê Ê Ê Help students in understanding how data structures are implemented in programs Ê WHAT WILL YOU LEARN ÊÊÊAnalysis of Algorithms, Arrays, Linked Lists, Sparse Matrices ÊÊÊStacks, Queues, Trees, Graphs, Searching and Sorting Ê WHO THIS BOOK IS FOR Students, Programmers, researchers, and software developers who wish to learn the basics of Data structures. Table of Contents 1. Analysis of Algorithms 2. Arrays 3. Linked Lists 4. Sparse Matrices 5. Stacks 6. Queues 7. Trees 8. Graphs 9. Searching and Sorting
Book Synopsis Learning Functional Data Structures and Algorithms by : Atul S. Khot
Download or read book Learning Functional Data Structures and Algorithms written by Atul S. Khot and published by Packt Publishing Ltd. This book was released on 2017-02-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming. Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying. Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit. Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures? This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical. Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs (abstract data types). Stacks, Queues, Trees and Graphs are all familiar ADTs. You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency. By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.
Book Synopsis A Common-Sense Guide to Data Structures and Algorithms, Second Edition by : Jay Wengrow
Download or read book A Common-Sense Guide to Data Structures and Algorithms, Second Edition written by Jay Wengrow and published by Pragmatic Bookshelf. This book was released on 2020-08-10 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Structures and Algorithm Analysis in Java, Third Edition by : Clifford A. Shaffer
Download or read book Data Structures and Algorithm Analysis in Java, Third Edition written by Clifford A. Shaffer and published by Courier Corporation. This book was released on 2012-09-06 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advanced Data Structures by : Peter Brass
Download or read book Advanced Data Structures written by Peter Brass and published by Cambridge University Press. This book was released on 2019-05-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search structures, heaps, union-find structures, dynamization and persistence of structures, structures for strings, and hash tables. This is the first volume to show data structures as a crucial algorithmic topic, rather than relegating them as trivial material used to illustrate object-oriented programming methodology, filling a void in the ever-increasing computer science market. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text. topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.
Book Synopsis Algorithms in C by : Robert Sedgewick
Download or read book Algorithms in C written by Robert Sedgewick and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Open Data Structures written by Pat Morin and published by Athabasca University Press. This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.
Book Synopsis A Practical Introduction to Data Structures and Algorithm Analysis by : Clifford A. Shaffer
Download or read book A Practical Introduction to Data Structures and Algorithm Analysis written by Clifford A. Shaffer and published by . This book was released on 2001 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.
Book Synopsis Everyday Data Structures by : William Smith
Download or read book Everyday Data Structures written by William Smith and published by Packt Publishing Ltd. This book was released on 2017-03-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction to Algorithms, third edition by : Thomas H. Cormen
Download or read book Introduction to Algorithms, third edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2009-07-31 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Book Synopsis Data Structures & Their Algorithms by : Harry R. Lewis
Download or read book Data Structures & Their Algorithms written by Harry R. Lewis and published by Addison Wesley. This book was released on 1991 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using only practically useful techniques, this book teaches methods for organizing, reorganizing, exploring, and retrieving data in digital computers, and the mathematical analysis of those techniques. The authors present analyses that are relatively brief and non-technical but illuminate the important performance characteristics of the algorithms. Data Structures and Their Algorithms covers algorithms, not the expression of algorithms in the syntax of particular programming languages. The authors have adopted a pseudocode notation that is readily understandable to programmers but has a simple syntax.
Book Synopsis Understanding and Using C Pointers by : Richard M Reese
Download or read book Understanding and Using C Pointers written by Richard M Reese and published by "O'Reilly Media, Inc.". This book was released on 2013-05-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve your programming through a solid understanding of C pointers and memory management. With this practical book, you’ll learn how pointers provide the mechanism to dynamically manipulate memory, enhance support for data structures, and enable access to hardware. Author Richard Reese shows you how to use pointers with arrays, strings, structures, and functions, using memory models throughout the book. Difficult to master, pointers provide C with much flexibility and power—yet few resources are dedicated to this data type. This comprehensive book has the information you need, whether you’re a beginner or an experienced C or C++ programmer or developer. Get an introduction to pointers, including the declaration of different pointer types Learn about dynamic memory allocation, de-allocation, and alternative memory management techniques Use techniques for passing or returning data to and from functions Understand the fundamental aspects of arrays as they relate to pointers Explore the basics of strings and how pointers are used to support them Examine why pointers can be the source of security problems, such as buffer overflow Learn several pointer techniques, such as the use of opaque pointers, bounded pointers and, the restrict keyword
Book Synopsis Data Structures And Algorithms by : Shi-kuo Chang
Download or read book Data Structures And Algorithms written by Shi-kuo Chang and published by World Scientific. This book was released on 2003-09-29 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as well as the concept of interface design. The book contains many examples and diagrams. Whenever appropriate, program codes are included to facilitate learning.This book is supported by an international group of authors who are experts on data structures and algorithms, through its website at www.cs.pitt.edu/~jung/GrowingBook/, so that both teachers and students can benefit from their expertise.