data-structures-and-algorithms-a-first-course

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Data Structures and Algorithms: A First Course

Author : Iain T. Adamson
Publisher : Springer Science & Business Media
ISBN 13 : 1447110234
Total Pages : 412 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Data Structures and Algorithms: A First Course by : Iain T. Adamson

Download or read book Data Structures and Algorithms: A First Course written by Iain T. Adamson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: All young computer scientists who aspire to write programs must learn something about algorithms and data structures. This book does exactly that. Based on lecture courses developed by the author over a number of years the book is written in an informal and friendly way specifically to appeal to students. The book is divided into four parts: the first on Data Structures introduces a variety of structures and the fundamental operations associated with them, together with descriptions of how they are implemented in Pascal; the second discusses algorithms and the notion of complexity; Part III is concerned with the description of successively more elaborate structures for the storage of records and algorithms for retrieving a record from such a structure by means of its key; and finally, Part IV consists of very full solutions to nearly all the exercises in the book.

Data Structures and Algorithms

Author : Shi Kuo Chang
Publisher : World Scientific
ISBN 13 : 9789812791245
Total Pages : 364 pages
Book Rating : 4.7/5 (912 download)

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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 with total page 364 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 http: //www.cs.pitt.edu/jung/GrowingBook/, so that both teachers and students can benefit from their expertise

An Introduction to Data Structures and Algorithms

Author : J.A. Storer
Publisher : Springer Science & Business Media
ISBN 13 : 146120075X
Total Pages : 609 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis An Introduction to Data Structures and Algorithms by : J.A. Storer

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

Data Structures and Algorithms

Author : Alfred V. Aho
Publisher : Pearson
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Data Structures and Algorithms by : Alfred V. Aho

Download or read book Data Structures and Algorithms written by Alfred V. Aho and published by Pearson. This book was released on 1983 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data -- Data Structures.

Data Structures and Algorithms with Python

Author : Kent D. Lee
Publisher : Springer
ISBN 13 : 3319130722
Total Pages : 369 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Data Structures and Algorithms with Python by : Kent D. Lee

Download or read book Data Structures and Algorithms with Python written by Kent D. Lee and published by Springer. This book was released on 2015-01-12 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.

Data Structures and Algorithm Analysis

Author : Mark Allen Weiss
Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 534 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Data Structures and Algorithm Analysis by : Mark Allen Weiss

Download or read book Data Structures and Algorithm Analysis written by Mark Allen Weiss and published by Addison Wesley Longman. This book was released on 1995 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: 080539057XB04062001

Data Structures And Algorithms

Author : Harry. H. Chaudhary.
Publisher : Programmers Mind LLC New York.
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Structures And Algorithms by : Harry. H. Chaudhary.

Download or read book Data Structures And Algorithms written by Harry. H. Chaudhary. and published by Programmers Mind LLC New York.. This book was released on 2014-10-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Features of Book - Essential Data Structures Skills -- Made Easy! All Code/Algo written in C Programming. || Learn with Fun strategy. Anyone can comfortably follow this book to Learn DSA Step By Step. Unique strategy- Concepts, Problems, Analysis, Questions, Solutions. Why This Book - This book gives a good start and complete introduction for data structures and algorithms for Beginner’s. While reading this book it is fun and easy to read it. This book is best suitable for first time DSA readers, Covers all fast track topics of DSA for all Computer Science students and Professionals. Learn all Concept’s Clearly with World Famous Programmer Harry Chaudhary. Main Objective - Data structures is concerned with the storage, representation and manipulation of data in a computer. In this book, we discuss some of the more versatile and popular data structures used to solve a variety of useful problems. Among the topics are linked lists, stacks, queues, trees, graphs, sorting and hashing. What Special - Data Structures & Algorithms Using C or C++ takes a gentle approach to the data structures course in C Providing an early, text gives students a firm grasp of key concepts and allows those experienced in another language to adjust easily. Flexible by design,. Finally, a solid foundation in building and using abstract data types is alsoprovided. Using C, this book develops the concepts & 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. This is a handy guide of sorts for any computer science Students, This book is a solution bank for various problems related to data structures and algorithms. It can be used as a reference manual by Computer Science Engineering students. This Book also covers all aspects of CS, IT. Special Note: Digital Pdf Edition || Epub Edition is Available on Google Play & Books. less

Problem Solving with Algorithms and Data Structures Using Python

Author : Bradley N. Miller
Publisher :
ISBN 13 : 9781590282830
Total Pages : 0 pages
Book Rating : 4.2/5 (828 download)

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Book Synopsis Problem Solving with Algorithms and Data Structures Using Python by : Bradley N. Miller

Download or read book Problem Solving with Algorithms and Data Structures Using Python written by Bradley N. Miller and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This textbook uses Python language and is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the college-level computer science curriculum. This book assumes readers are beginners at this level who may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving"--

Learning JavaScript Data Structures and Algorithms

Author : Loiane Groner
Publisher : Packt Publishing Ltd
ISBN 13 : 178355388X
Total Pages : 307 pages
Book Rating : 4.7/5 (835 download)

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Book Synopsis Learning JavaScript Data Structures and Algorithms by : Loiane Groner

Download or read book Learning JavaScript Data Structures and Algorithms written by Loiane Groner and published by Packt Publishing Ltd. This book was released on 2016-06-23 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hone your skills by learning classic data structures and algorithms in JavaScript About 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 For If 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 sort In Detail This 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 approach This 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.

First Course in Algorithms Through Puzzles

Author : Ryuhei Uehara
Publisher : Springer
ISBN 13 : 981133188X
Total Pages : 175 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis First Course in Algorithms Through Puzzles by : Ryuhei Uehara

Download or read book First Course in Algorithms Through Puzzles written by Ryuhei Uehara and published by Springer. This book was released on 2018-12-06 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces basic algorithms and explains their analytical methods. All algorithms and methods introduced in this book are well known and frequently used in real programs. Intended to be self-contained, the contents start with the basic models, and no prerequisite knowledge is required. This book is appropriate for undergraduate students in computer science, mathematics, and engineering as a textbook, and is also appropriate for self-study by beginners who are interested in the fascinating field of algorithms. More than 40 exercises are distributed throughout the text, and their difficulty levels are indicated. Solutions and comments for all the exercises are provided in the last chapter. These detailed solutions will enable readers to follow the author’s steps to solve problems and to gain a better understanding of the contents. Although details of the proofs and the analyses of algorithms are also provided, the mathematical descriptions in this book are not beyond the range of high school mathematics. Some famous real puzzles are also used to describe the algorithms. These puzzles are quite suitable for explaining the basic techniques of algorithms, which show how to solve these puzzles.

Advanced Data Structures & Algorithms in C++

Author : V.V. Muniswamy
Publisher :
ISBN 13 : 9788184950021
Total Pages : 0 pages
Book Rating : 4.9/5 (5 download)

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Book Synopsis Advanced Data Structures & Algorithms in C++ by : V.V. Muniswamy

Download or read book Advanced Data Structures & Algorithms in C++ written by V.V. Muniswamy and published by . This book was released on 2009-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes CD with Questions, Answers & QuizzesThis book is intended for a one-semester course on Data Structures & Algorithms in C++ . It has been specifically designed to help students make the transition from a first course in programming to an integrated understanding of data structures and their applications. It includes a solid introduction to algorithms, an integral part of understanding data structures and uses C++ syntax and structure in the design of data structures.Key Features Focuses on simple explanations of techniques that can be applied to real-world problems Scope and presentation of material provide students with the knowledge necessary to do work in design, implementation, testing, on maintenance of any software systems Includes extensive illustrations and over 250 figures to augment the text Chapter summary, multiple-choice questions, review questions and exercises given at the end of each chapter.

Introduction to Algorithms, Data Structures and Formal Languages

Author : Michael John Dinneen
Publisher :
ISBN 13 : 9781442512061
Total Pages : 254 pages
Book Rating : 4.5/5 (12 download)

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Book Synopsis Introduction to Algorithms, Data Structures and Formal Languages by : Michael John Dinneen

Download or read book Introduction to Algorithms, Data Structures and Formal Languages written by Michael John Dinneen and published by . This book was released on 2009-02 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTRODUCTION TO ALGORITHMS, DATA STRUCTURES AND FORMAL LANGUAGES provides a concise, straightforward, yet rigorous introduction to the key ideas, techniques, and results in three areas essential to the education of every computer scientist. The textbook is closely based on the syllabus of the course COMPSCI220, which the authors and their colleagues have taught at the University of Auckland for several years. The book could also be used for self-study. Many exercises are provided, a substantial proportion of them with detailed solutions. Numerous figures aid understanding. To benefit from the book, the reader should have had prior exposure to programming in a structured language such as Java or C++, at a level similar to a typical two semester first-year university computer science sequence. However, no knowledge of any particular such language is necessary. Mathematical prerequisites are modest. Several appendices can be used to fill minor gaps in background knowledge. After finishing this book, students should be well prepared for more advanced study of the three topics, either for their own sake or as they arise in a multitude of application areas.

Data Structures and Algorithms

Author : Knowledge Flow
Publisher : Knowledge Flow
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Structures and Algorithms by : Knowledge Flow

Download or read book Data Structures and Algorithms written by Knowledge Flow and published by Knowledge Flow. This book was released on 2015-02-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ★★★★★LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY. ★★★★★ Knowledge flow- A mobile learning platform provides Apps and Books. Knowledge flow provides learning book of Data Structures and Algorithms. This book is for all information technology and computer science students and professionals across the world. Data structure is the programmatic way of storing data and this book of data structure provides an easy way to understanding data structure. Contents: 1. Introduction to Data Structures and Algorithms 2. Data structure for string and pattern matching Algorithm 3. Arrays and Pointers 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Graphs in Data Structure 8. Sort and Search 9. AVL Search Trees 10. Warshall’s Algorithm

First Course

Author : Edward Hill
Publisher : iUniverse
ISBN 13 : 0595318967
Total Pages : 0 pages
Book Rating : 4.5/5 (953 download)

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Book Synopsis First Course by : Edward Hill

Download or read book First Course written by Edward Hill and published by iUniverse. This book was released on 2004-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures and Algorithms Using Java covers introductory topics on linked stacks, linked queues, linked deques, lists, trees, hashing, text processing, file structures, and inverted files. Data structures and their use in programming are emphasized. The high level programming language Java used as a tool supports designs and implementations of data structures. This applies data structures and improves programming skills in the high level programming language. High level language use with data structures empowers thinking necessary to think links. This empowerment paradigm uses a data structure model (DSM) to emulate a few constructs from the List Processing (LISP) language. Each data structure in the model uses a sequential order to show the relationships and differences in the data structures.

Data Structures & Algorithm Analysis in C++

Author : Mark Allen Weiss
Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 614 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Data Structures & Algorithm Analysis in C++ by : Mark Allen Weiss

Download or read book Data Structures & Algorithm Analysis in C++ written by Mark Allen Weiss and published by Addison Wesley Longman. This book was released on 1999 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math.

Algorithms in C, Parts 1-4

Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
ISBN 13 : 076868501X
Total Pages : 1415 pages
Book Rating : 4.7/5 (686 download)

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Book Synopsis Algorithms in C, Parts 1-4 by : Robert Sedgewick

Download or read book Algorithms in C, Parts 1-4 written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 1997-08-22 with total page 1415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Advanced Data Structures

Author : Suman Saha
Publisher : CRC Press
ISBN 13 : 0429949855
Total Pages : 236 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Advanced Data Structures by : Suman Saha

Download or read book Advanced Data Structures written by Suman Saha and published by CRC Press. This book was released on 2019-06-28 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced data structures is a core course in Computer Science which most graduate program in Computer Science, Computer Science and Engineering, and other allied engineering disciplines, offer during the first year or first semester of the curriculum. The objective of this course is to enable students to have the much-needed foundation for advanced technical skill, leading to better problem-solving in their respective disciplines. Although the course is running in almost all the technical universities for decades, major changes in the syllabus have been observed due to the recent paradigm shift of computation which is more focused on huge data and internet-based technologies. Majority of the institute has been redefined their course content of advanced data structure to fit the current need and course material heavily relies on research papers because of nonavailability of the redefined text book advanced data structure. To the best of our knowledge well-known textbook on advanced data structure provides only partial coverage of the syllabus. The book offers comprehensive coverage of the most essential topics, including: Part I details advancements on basic data structures, viz., cuckoo hashing, skip list, tango tree and Fibonacci heaps and index files. Part II details data structures of different evolving data domains like special data structures, temporal data structures, external memory data structures, distributed and streaming data structures. Part III elucidates the applications of these data structures on different areas of computer science viz, network, www, DBMS, cryptography, graphics to name a few. The concepts and techniques behind each data structure and their applications have been explained. Every chapter includes a variety of Illustrative Problems pertaining to the data structure(s) detailed, a summary of the technical content of the chapter and a list of Review Questions, to reinforce the comprehension of the concepts. The book could be used both as an introductory or an advanced-level textbook for the advanced undergraduate, graduate and research programmes which offer advanced data structures as a core or an elective course. While the book is primarily meant to serve as a course material for use in the classroom, it could be used as a starting point for the beginner researcher of a specific domain.