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Author : Ellis Horowitz,Sartaj Sahni
Publisher : Unknown
Page : 564 pages
File Size : 46,5 Mb
Release : 1978
Category : Data structures (Computer science)
ISBN : OCLC:4297616
Author : Ellis Horowitz,Sartaj Sahni
Publisher : Computer Science Press, Incorporated
Page : 584 pages
File Size : 48,7 Mb
Release : 1983
Category : Computers
ISBN : UOM:39015048108990
Arrays; Stacks and queues; Linked lists; Trees; Graphs; Internal sorting; External sorting; Symbol tables; Files.
Author : Horowitz Ellis Sahni Sartaj & Anderson-Freed Susan
Publisher : Unknown
Page : 664 pages
File Size : 45,7 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 : Sammie Bae
Publisher : Apress
Page : 362 pages
File Size : 46,6 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 : Kenneth Alfred Lambert
Publisher : Course Technology
Page : 0 pages
File Size : 42,7 Mb
Release : 2014
Category : Data structures (Computer science)
ISBN : 1285752007
Written for computer programming students, hobbyists, and professionals, FUNDAMENTALS OF PYTHON: DATA STRUCTURES is an introduction to object-oriented design and data structures using the popular Python programming language. The level of instruction assumes at least one semester of programming in an object-oriented language such as Java, C++, or Python. Through the step-by-step instruction and exercises in this book, you'll cover such topics as the design of collection classes with polymorphism and inheritance, multiple implementations of collection interfaces, and the analysis of the space/time tradeoffs of different collection implementations (specifically array-based implementations and link-based implementations). Collections covered include sets, lists, stacks, queues, trees, dictionaries, and graphs. Get ready to dig into Python data structures with FUNDAMENTALS OF PYTHON: DATA STRUCTURES.
Author : Richard Wiener,Lewis J. Pinson
Publisher : Cambridge University Press
Page : 484 pages
File Size : 53,5 Mb
Release : 2000-06-05
Category : Computers
ISBN : 0521662206
A book for an undergraduate course on data structures which integrates the concepts of object-oriented programming and GUI programming.
Author : Ellis Horowitz,Sartaj Sahni,Dinesh P. Mehta
Publisher : Unknown
Page : 0 pages
File Size : 54,5 Mb
Release : 2007
Category : C++ (Computer program language).
ISBN : 0929306376
Author : E. KARTHIKEYAN
Publisher : PHI Learning Pvt. Ltd.
Page : 308 pages
File Size : 44,8 Mb
Release : 2008-06-04
Category : Computers
ISBN : 8120334248
This book is designed to provide a solid introduction to the basics of C programming, and demonstrate C’s power and flexibility in writing compact and efficient programs not only for information processing but also for high-level computations. It is an ideal text for the students of Computer Applications (BCA/MCA), Computer Science (B.Sc./M.Sc.), Computer Science and Engineering (B.E./B.Tech), Information Technology (B.E./B.Tech.) as well as for the students pursuing courses in other engineering disciplines, both at the degree and diploma levels, possessing little or no programming experience. The book presents a comprehensive treat-ment of the language, highlighting its key features and illustrating effective programm-ing techniques by examples. The basic programming concepts such as data types, input and output statements, looping statements, etc. are clearly explained in a simplified manner. The advanced techniques such as functions, pointers and files are discussed thoroughly. One of the key topics, Data Structures, is explained in detail with diagrammatic representations and well-written programs. The linked list, the heart of the data structure part, is very well illustrated. The final part of the book contains a collection of solved programs to reinforce the understanding of the concepts of the C language.
Author : Jim Keogh,Davidson
Publisher : Dreamtech Press
Page : 296 pages
File Size : 49,6 Mb
Release : 2004-03-27
Category : Electronic
ISBN : 8177224808
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 .· Memory, Abstract Data Types, and Addresses· The Point about Variables and Pointers· What Is an Array? · Stacks Using an Array · Queues Using an Array· What is a Linked List? · Stacks Using Linked Lists· Queues Using Linked Lists· Stacks and Queues: Insert, Delete, Peek, Find· What is a Tree? · What is a Hashtable?
Author : Sahni
Publisher : Galgotia Publications
Page : 678 pages
File Size : 54,7 Mb
Release : 1995
Category : Electronic
ISBN : 8175152788
Author : Ellis Horowitz,Sartaj Sahni
Publisher : Computer Science Press, Incorporated
Page : 568 pages
File Size : 51,7 Mb
Release : 1987
Category : Computers
ISBN : UOM:39015012455195
Author : Jay Wengrow
Publisher : Pragmatic Bookshelf
Page : 714 pages
File Size : 46,9 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 : Kenneth Lambert,Thomas L. Naps
Publisher : Course Technology
Page : 180 pages
File Size : 54,8 Mb
Release : 2001-04
Category : Business & Economics
ISBN : 0538695676
Author : Pat Morin
Publisher : Athabasca University Press
Page : 336 pages
File Size : 43,5 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 : Anuradha A. Puntamberkar
Publisher : Technical Publications
Page : 400 pages
File Size : 48,6 Mb
Release : 2020-12-01
Category : Computers
ISBN : 9789333223799
The book has been developed to provide comprehensive and consistent coverage of both the concepts of data structures as well as implementation of these concepts using Python and C++ language. The book utilizes a systematic approach wherein each data structure is explained using examples followed by its implementation using suitable programming language. It begins with the introduction to data structures and algorithms. In this, an overview of various types of data structures is given and asymptotic notations, best case, worst case and average case time complexity is discussed. This part is concluded by discussing the two important algorithmic strategies such as - divide and conquer and greedy method. The book then focuses on the linear data structures such as arrays in which types of arrays, concept of ordered list, implementation of polynomial using arrays and sparse matrix representation and operations are discussed. The implementation of these concepts is using Python and C++ programming language. Then searching and sorting algorithms, their implementation and time complexities are discussed. The sorting and searching methods are illustrated systematically with the help of examples. The book then covers the linear data structures such as linked list, stacks and queues. These data structures are very well explained with the help of illustrative diagrams, examples and implementations. The explanation in this book is in a very simple language along with clear and concise form which will help the students to have clear-cut understanding of the subject.