Download or read book Data Structures Principles and Fundamentals written by Jim Keogh and published by Dreamtech Press. This book was released on 2004-03-27 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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?

Download or read book Data Structures Algorithms and Software Principles in C written by Thomas A. Standish and published by Pearson. This book was released on 1995 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using C, this book develops the concepts and theory of data structures and algorithm analysis in a gradual, step-by-step manner, proceeding from concrete examples to abstract principles. Standish covers a wide range of both traditional and contemporary software engineering topics. The text also includes an introduction to object-oriented programming using C++. By introducing recurring themes such as levels of abstraction, recursion, efficiency, representation and trade-offs, the author unifies the material throughout. Mathematical foundations can be incorporated at a variety of depths, allowing the appropriate amount of math for each user.

Download or read book Principles of Data Structures Using C and C written by Vinu V. Das and published by New Age International. This book was released on 2006 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book: Principles of DATA STRUCTURES using C and C++ covers all the fundamental topics to give a better understanding about the subject. The study of data structures is essential to every one who comes across with computer science. This book is written in accordance with the revised syllabus for B. Tech./B.E. (both Computer Science and Electronics branches) and MCA. students of Kerala University, MG University, Calicut University, CUSAT Cochin (deemed) University. NIT Calicut (deemed) University, Anna University, UP Technical University, Amritha Viswa (deemed) Vidyapeeth, Karunya (dee.

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.

Download or read book Fundamentals Of Data Structures In C written by Sahni and published by Galgotia Publications. This book was released on 1995 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fundamentals of Data Structures written by Ellis Horowitz and published by Computer Science Press, Incorporated. This book was released on 1983 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Arrays; Stacks and queues; Linked lists; Trees; Graphs; Internal sorting; External sorting; Symbol tables; Files.

Download or read book Fundamentals of OOP and Data Structures in Java written by Richard Wiener and published by Cambridge University Press. This book was released on 2000-06-05 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book for an undergraduate course on data structures which integrates the concepts of object-oriented programming and GUI programming.

Download or read book Data Structures Through C written by Yashavant Kanetkar and published by BPB Publications. This book was released on 2019-09-19 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experience Data Structures CÊ through animations 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. Ê This is a different Data Structures book. It uses a common language like C 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 an 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 Strengthens the foundations, as detailed explanation of concepts are givenÊ Focuses on how to think logically to solve a problem Algorithms used in the book are well explained and illustrated step by step. Help students in understanding how data structures are implemented in programs WHAT WILL YOU LEARN Analysis of Algorithms, Arrays, Linked Lists, Sparse Matrices Stacks, Queues, Trees, Graphs, Searching and Sorting 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

Download or read book DATA STRUCTURES ALGORITHMS written by Prabhu TL and published by NestFame Creations Pvt Ltd.. This book was released on with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structure is a method of collecting and organising data in such a way that we can effectively conduct operations on it. Data Structures are used to organise and store data by presenting data items in terms of some relationship. For example, we have information about a player named "Virat" who is 26 years old. The data types "Virat" and "26" are both String data types. We may organise this information into a record called Player, which will contain both the player's name and age. As a data structure, we can now gather and store player records in a file or database. For instance, "Dhoni" is 30, "Gambhir" is 31, and "Sehwag" is 33. If you're familiar with Object Oriented programming principles, you'll recognise that a class accomplishes the same thing: it aggregates several types of data into a single entity. The only distinction is that data structures give strategies for efficiently accessing and manipulating data. Data Structures, in simple terms, are structures that are programmed to contain ordered data so that various operations may be performed on it quickly. It indicates the data knowledge that needs to be stored in memory. It should be planned and implemented in a way that minimises complexity while increasing efficiency.

Download or read book Quantum Data Structures Fundamentals written by N.B. Singh and published by N.B. Singh. This book was released on with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Quantum Data Structures Fundamentals" is a beginner-friendly exploration of the essential concepts underpinning quantum computing. Written for readers with non-mathematical backgrounds and absolute beginners, this book delves into the fundamental principles of quantum data structures, offering clear explanations and intuitive insights. From understanding the basics of qubits and quantum gates to exploring advanced topics such as quantum cryptography and quantum simulation, each chapter provides a comprehensive overview of key concepts in a reader-friendly manner. Through accessible language and practical examples, this book serves as an introductory guide to the fascinating world of quantum computing, empowering readers to grasp foundational concepts and lay the groundwork for further exploration in this rapidly evolving field.

Download or read book Data Structures in Java written by Thomas A. Standish and published by Addison Wesley. This book was released on 1998 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Java(TM) 1.1, Professor Thomas A. Standish teaches the fundamentals of data structures and algorithms. With this exciting new language, Standish takes a fresh look at the subject matter. New challenges arise any time a new language is used, and the author meets these challenges. For example, although Java is a language without explicit pointers, this book offers pointer diagrams to help students visualize, reason about, and understand this major Data Structures topic. Standish's clear presentation helps readers tie the many concepts of data structures together with recurring themes. Central ideas - such as modularity, levels of abstraction, efficiency, and tradeoffs - serve as integrators in the book in order to tie the material together conceptually and to reveal its underlying unity and interrelationships. Highlights Reviews the fundamentals of object-oriented programming and Java in Chapter 2 and Appendix A, allowing students with no prior knowledge of Java to get up and running quickly. Creates a Java applet with a simple GUI in Chapter 2. Covers recursion early and carefully in Chapter 4 to help students grasp this challenging concept. Includes an introduction to modularity and data abstraction concepts in Chapter 5, and coverage of key software engineering concepts and skills in Appendix C. Contains common pitfall sections at the end of each chapter to help students recognize and avoid potential dangers. ** Instructor's materials are available from your sales rep. If you do not know your local sales representative, please call 1-800-552-2499 for assistance, or use the Addison Wesley Longman rep-locator at http: //hepg.awl.com/rep-locator. 020130564XB04062001

Download or read book C Data Structures and Algorithm Design Principles written by John Carey and published by Packt Publishing Ltd. This book was released on 2019-10-31 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get started with C++ programming by learning how to build applications using its data structures and algorithms Key FeaturesExplore data structures such as arrays, stacks, and graphs with real-world examplesStudy the trade-offs between algorithms and data structures and discover what works and what doesn'tDiscover how techniques such as bloom filters and multi-way heaps boost real-world applicationsBook Description C++ is a mature multi-paradigm programming language that enables you to write high-level code with a high degree of control over the hardware. Today, significant parts of software infrastructure, including databases, browsers, multimedia frameworks, and GUI toolkits, are written in C++. This book starts by introducing C++ data structures and how to store data using linked lists, arrays, stacks, and queues. In later chapters, the book explains the basic algorithm design paradigms, such as the greedy approach and the divide-and-conquer approach, which are used to solve a large variety of computational problems. Finally, you will learn the advanced technique of dynamic programming to develop optimized implementations of several algorithms discussed in the book. By the end of this book, you will have learned how to implement standard data structures and algorithms in efficient and scalable C++ 14 code. What you will learnBuild applications using hash tables, dictionaries, and setsExplore how modern hardware affects the actual run-time performance of programsApply common algorithms such as heapsort and merge sort for string data typesUse C++ template metaprogramming to write code librariesImplement a URL shortening service using a bloom filterUse appropriate modern C++ idioms such as std:: array instead of C-style arraysWho this book is for This book is for developers or students who want to revisit basic data structures and algorithm design techniques. Although no mathematical background is required, basic knowledge of complexity classes and Big O notation along with a qualification in an algorithms course will help you get the most out of this book. Familiarity with C++ 14 standard is assumed.

Download or read book Principles of Data Structures and Algorithms with Pascal written by Robert R. Korfhage and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Algorithms in C written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 1998 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction. Principles of algorithm analysis. Elementary data structures. Abstract data types. Recursion and trees. Elementary sorting methods. Quicksort. Merging and mergesort. Priority queues and heapsort. Radix sorting. Special-purpose sorts. Symbol tables and BSTs. Balanced trees. Hashing. Radix search. External searching. Index.

Download or read book Data Structure and Algorithms Using C written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-01-12 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

Download or read book An Introduction to Data Structures and Algorithms written by J.A. Storer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel

Download or read book The Book on Data Structures written by David R. Richardson and published by iUniverse. This book was released on 2002-07-31 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of data structures is one of the most important for beginning and advanced students studying the theory of computer science. This is a comprehensive guide designed to teach the principles and applications of data structures in a structured format. While other books require you to have an intimate knowledge of a particular programming language, this book teaches this intriguing facet of computer science in a language independent manner. In this first volume, we will discuss all of the important facts and concepts that you would encounter in a data structures 1 course. This makes this particular guide an excellent reference for the student. Also, with the addition of chapter exercises, this text makes an excellent text book for an undergraduate course in data structures.