Classic Data Structures 2nd Ed
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Author | : Samanta Debasis |
Publisher | : PHI Learning Pvt. Ltd. |
Total Pages | : 942 |
Release | : 2008-12-01 |
Genre | : Computers |
ISBN | : 812033731X |
This book is the second edition of a text designed for undergraduate engineering courses in Data Structures. The treatment of the subject matter in this second edition maintains the same general philosophy as in the first edition but with significant additions. These changes are designed to improve the readability and understandability of all algorithms so that the students acquire a firm grasp of the key concepts. This book is recommended in Assam Engineering College, Assam, Girijananda Chowdhury Institute of Management and Technology, Assam, Supreme Knowledge Foundation Group, West Bengal, West Bengal University of Technology (WBUT) for B.Tech. The book provides a complete picture of all important data structures used in modern programming practice. It shows : various ways of representing a data structure different operations to manage a data structure several applications of a data structure The algorithms are presented in English-like constructs for ease of comprehension by students, though all of them have been implemented separately in C language to test their correctness. Key Features : Red-black tree and spray tree are discussed in detail Includes a new chapter on Sorting Includes a new chapter on Searching Includes a new appendix on Analysis of Algorithms for those who may be unfamiliar with the concepts of algorithms Provides numerous section-wise assignments in each chapter Also included are exercises—Problems to Ponder—in each chapter to enhance learning The book is suitable for students of : (i) computer science (ii) computer applications (iii) information and communication technology (ICT) (iv) computer science and engineering.
Author | : Langsam |
Publisher | : Pearson Education India |
Total Pages | : 692 |
Release | : 2003-09 |
Genre | : |
ISBN | : 9788131711484 |
Author | : Bradley N. Miller |
Publisher | : Franklin Beedle & Associates |
Total Pages | : 0 |
Release | : 2011 |
Genre | : Algorithms |
ISBN | : 9781590282571 |
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 |
Total Pages | : 737 |
Release | : 2020-08-10 |
Genre | : Computers |
ISBN | : 1680508059 |
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 | : Michael T. Goodrich |
Publisher | : Wiley Global Education |
Total Pages | : 738 |
Release | : 2014-03-27 |
Genre | : Computers |
ISBN | : 1118803167 |
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 | : Sammie Bae |
Publisher | : Apress |
Total Pages | : 362 |
Release | : 2019-01-23 |
Genre | : Computers |
ISBN | : 1484239881 |
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 | : DHARMENDER SINGH KUSHWAHA |
Publisher | : PHI Learning Pvt. Ltd. |
Total Pages | : 734 |
Release | : 2014-10-01 |
Genre | : Computers |
ISBN | : 8120350294 |
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 | : Chris Okasaki |
Publisher | : Cambridge University Press |
Total Pages | : 236 |
Release | : 1999-06-13 |
Genre | : Computers |
ISBN | : 9780521663502 |
This book describes data structures and data structure design techniques for functional languages.
Author | : Loiane Groner |
Publisher | : Packt Publishing |
Total Pages | : 314 |
Release | : 2016-06-23 |
Genre | : Computers |
ISBN | : 9781785285493 |
Hone your skills by learning classic data structures and algorithms in JavaScriptAbout 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 ForIf 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 sortIn DetailThis 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 approachThis 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.
Author | : Michael McMillan |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 274 |
Release | : 2014-03-10 |
Genre | : Computers |
ISBN | : 144937395X |
As an experienced JavaScript developer moving to server-side programming, you need to implement classic data structures and algorithms associated with conventional object-oriented languages like C# and Java. This practical guide shows you how to work hands-on with a variety of storage mechanisms—including linked lists, stacks, queues, and graphs—within the constraints of the JavaScript environment. Determine which data structures and algorithms are most appropriate for the problems you’re trying to solve, and understand the tradeoffs when using them in a JavaScript program. An overview of the JavaScript features used throughout the book is also included. This book covers: Arrays and lists: the most common data structures Stacks and queues: more complex list-like data structures Linked lists: how they overcome the shortcomings of arrays Dictionaries: storing data as key-value pairs Hashing: good for quick insertion and retrieval Sets: useful for storing unique elements that appear only once Binary Trees: storing data in a hierarchical manner Graphs and graph algorithms: ideal for modeling networks Algorithms: including those that help you sort or search data Advanced algorithms: dynamic programming and greedy algorithms