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Author : Samanta,Samanta Debasis
Publisher : PHI Learning Pvt. Ltd.
Page : 940 pages
File Size : 54,8 Mb
Release : 2008-12-01
Category : Computer algorithms
ISBN : 9788120337312
Author : DHARMENDER SINGH KUSHWAHA,ARUN KUMAR MISRA
Publisher : PHI Learning Pvt. Ltd.
Page : 728 pages
File Size : 50,8 Mb
Release : 2014-10-01
Category : Computers
ISBN : 9788120350298
This well-organized book, now in its second edition, discusses the fundamentals of various data structures using C as the programming language. Beginning with the basics of C, the discussion moves on to describe Pointers, Arrays, Linked lists, Stacks, Queues, Trees, Heaps, Graphs, Files, Hashing, and so on that form the base of data structure. It builds up the concept of Pointers in a lucid manner with suitable examples, which forms the crux of Data Structures. Besides updated text and additional multiple choice questions, the new edition deals with various classical problems such as 8-queens problem, towers of Hanoi, minesweeper, lift problem, tic-tac-toe and Knapsack problem, which will help students understand how the real-life problems can be solved by using data structures. The book exhaustively covers all important topics prescribed in the syllabi of Indian universities/institutes, including all the Technical Universities and NITs. Primarily intended as a text for the undergraduate students of Engineering (Computer Science/Information Technology) and postgraduate students of Computer Application (MCA) and Computer Science (M.Sc.), the book will also be of immense use to professionals engaged in the field of computer science and information technology. Key Features • Provides more than 160 complete programs for better understanding. • Includes over 470 MCQs to cater to the syllabus needs of GATE and other competitive exams. • Contains over 500 figures to explain various algorithms and concepts. • Contains solved examples and programs for practice. • Provides companion CD containing additional programs for students’ use.
Author : Anami,Basavaraj S,angadi Shanmukhappa A.,manvi Sunilkumar S.
Publisher : PHI Learning Pvt. Ltd.
Page : 348 pages
File Size : 41,6 Mb
Release : 2024-06-15
Category : Electronic
ISBN : 8120340671
Author : Horowitz Ellis Sahni Sartaj & Anderson-Freed Susan
Publisher : Unknown
Page : 664 pages
File Size : 49,8 Mb
Release : 2008
Category : C (Computer program language)
ISBN : 8173716056
The classic data structure textbook provides a comprehensive and technically rigorous introduction to data structures such as arrays, stacks, queues, linked lists, trees and graphs, and techniques such as sorting hashing that form the basis of all software. In addition, it presents advanced of specialized data structures such as priority queues, efficient binary search trees, multiway search trees and digital search structures. The book now discusses topics such as weight biased leftist trees, pairing heaps, symmetric min-max heaps, interval heaps, top-down splay trees, B+ trees and suffix trees. Red-black trees have been made more accessible. The section on multiway tries has been significantly expanded and several trie variations and their application to Interner packet forwarding have been disused.
Author : Bradley N. Miller,David L. Ranum
Publisher : Franklin Beedle & Associates
Page : 0 pages
File Size : 45,7 Mb
Release : 2011
Category : Algorithms
ISBN : 1590282574
Thes book has three key features : fundamental data structures and algorithms; algorithm analysis in terms of Big-O running time in introducied early and applied throught; pytohn is used to facilitates the success in using and mastering data strucutes and algorithms.
Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
Page : 714 pages
File Size : 47,7 Mb
Release : 2020-08-10
Category : Computers
ISBN : 9781680508055
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 : Sammie Bae
Publisher : Apress
Page : 362 pages
File Size : 44,8 Mb
Release : 2019-01-23
Category : Computers
ISBN : 9781484239889
Explore data structures and algorithm concepts and their relation to everyday JavaScript development. A basic understanding of these ideas is essential to any JavaScript developer wishing to analyze and build great software solutions. You'll discover how to implement data structures such as hash tables, linked lists, stacks, queues, trees, and graphs. You'll also learn how a URL shortener, such as bit.ly, is developed and what is happening to the data as a PDF is uploaded to a webpage. This book covers the practical applications of data structures and algorithms to encryption, searching, sorting, and pattern matching. It is crucial for JavaScript developers to understand how data structures work and how to design algorithms. This book and the accompanying code provide that essential foundation for doing so. With JavaScript Data Structures and Algorithms you can start developing your knowledge and applying it to your JavaScript projects today. What You'll Learn Review core data structure fundamentals: arrays, linked-lists, trees, heaps, graphs, and hash-tableReview core algorithm fundamentals: search, sort, recursion, breadth/depth first search, dynamic programming, bitwise operators Examine how the core data structure and algorithms knowledge fits into context of JavaScript explained using prototypical inheritance and native JavaScript objects/data types Take a high-level look at commonly used design patterns in JavaScript Who This Book Is For Existing web developers and software engineers seeking to develop or revisit their fundamental data structures knowledge; beginners and students studying JavaScript independently or via a course or coding bootcamp.
Author : Michael T. Goodrich,Roberto Tamassia,Michael H. Goldwasser
Publisher : John Wiley & Sons
Page : 736 pages
File Size : 44,7 Mb
Release : 2014-01-28
Category : Computers
ISBN : 9781118771334
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 : Pat Morin
Publisher : Athabasca University Press
Page : 336 pages
File Size : 53,6 Mb
Release : 2013
Category : Computers
ISBN : 9781927356388
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.
Author : Nell B. Dale,Daniel T. Joyce,Chip Weems
Publisher : Jones & Bartlett Learning
Page : 810 pages
File Size : 49,7 Mb
Release : 2006
Category : Computers
ISBN : 0763737461
Data Structures & Theory of Computation
Author : Sunil Dutt Purohit,Dharm Singh Jat,Ramesh Chandra Poonia,Sandeep Kumar,Saroj Hiranwal
Publisher : Springer Nature
Page : 669 pages
File Size : 55,9 Mb
Release : 2020-08-27
Category : Technology & Engineering
ISBN : 9789811550775
This book offers a collection of high-quality peer-reviewed research papers presented at the Second International Conference on Communication and Computational Technologies (ICCCT 2019), held at Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India, on 30–31 August 2019. In contributions prepared by researchers from academia and industry alike, the book discusses a wide variety of industrial, engineering and scientific applications of emerging techniques.
Author : Langsam
Publisher : Pearson Education India
Page : 692 pages
File Size : 45,7 Mb
Release : 2003-09
Category : Electronic
ISBN : 813171148X
Author : Weiss
Publisher : Pearson Education India
Page : 532 pages
File Size : 45,5 Mb
Release : 1997-09
Category : Algorithms
ISBN : 8177583581
In The Second Edition Of This Best-Selling Book, The Author Continues To Refine And Enhance His Innovative Approach To Algorithms And Data Structures. Using A C Implementation, He Highlights Conceptual Topics, Focusing On Adts And The Analysis Of Algorithms For Efficiency As Well As Performance And Running Time.
Author : K. R. CHOWDHARY
Publisher : PHI Learning Pvt. Ltd.
Page : 360 pages
File Size : 46,9 Mb
Release : 2015-01-02
Category : Mathematics
ISBN : 9788120350748
This updated text, now in its Third Edition, continues to provide the basic concepts of discrete mathematics and its applications at an appropriate level of rigour. The text teaches mathematical logic, discusses how to work with discrete structures, analyzes combinatorial approach to problem-solving and develops an ability to create and understand mathematical models and algorithms essentials for writing computer programs. Every concept introduced in the text is first explained from the point of view of mathematics, followed by its relation to Computer Science. In addition, it offers excellent coverage of graph theory, mathematical reasoning, foundational material on set theory, relations and their computer representation, supported by a number of worked-out examples and exercises to reinforce the students’ skill. Primarily intended for undergraduate students of Computer Science and Engineering, and Information Technology, this text will also be useful for undergraduate and postgraduate students of Computer Applications. New to this Edition Incorporates many new sections and subsections such as recurrence relations with constant coefficients, linear recurrence relations with and without constant coefficients, rules for counting and shorting, Peano axioms, graph connecting, graph scanning algorithm, lexicographic shorting, chains, antichains and order-isomorphism, complemented lattices, isomorphic order sets, cyclic groups, automorphism groups, Abelian groups, group homomorphism, subgroups, permutation groups, cosets, and quotient subgroups. Includes many new worked-out examples, definitions, theorems, exercises, and GATE level MCQs with answers.
Author : Dinesh P. Mehta,Sartaj Sahni
Publisher : Taylor & Francis
Page : 1120 pages
File Size : 50,8 Mb
Release : 2018-02-21
Category : Computers
ISBN : 9781498701884
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.