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A Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS

A Quick Reference to DATA STRUCTURES and COMPUTER ALGORITHMS
Author: Raji Ramakrishnan Nair
Publisher: BPB Publications
Total Pages: 359
Release: 2019-09-18
Genre: Computers
ISBN: 9388176588
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For beginners to level up Core Programming Skills DESCRIPTION The book gives full understanding of theoretical topic and easy implementation in programming. The book is going to help students in self-learning of data structures and in understanding how these concepts are implemented in programs. It contains lot of figures, which will help students to visualize the concept effectively. Diagrams help students to understand how the programs involving data structure concepts are implemented within the computer system. Algorithms are included to clear the concept of data structure. Each algorithm is explained with figures to make student clearer about the concept. Sample data set is taken and step by step execution of algorithm is provided in the book to ensure the in Ð depth knowledge of students about the concept discussed. KEY FEATURES Simple and easy to understand. Useful for any level of students including B.E., BTech, MCA, BCA, B.Sc. (Computer Science), etc. Algorithms used in the book are well explained and illustrated step by step. Help students in understanding how data structures are implemented in programs. Each module contains question bank which includes questions for competitive examinations like UGC-NET, placement drives, and so on. WHAT WILL YOU LEARN New features and essential of Algorithms and Arrays. Linked List, its type and implementation. Stacks and Queues Trees and Graphs Searching and Sorting Greedy method Beauty of Blockchain WHO THIS BOOK IS FOR This book is useful for all the students of B. Tech, B.E., MCA, BCA, B.Sc. (Computer Science), and so on. Person with basic knowledge in this field can understand the concept from the beginning of the book itself. We think our book is one of a kind. We are trying to connect the past and the present here. The last module of our book is focussing on BLOCKCHAIN. It explains the concepts of blockchain through a different dimension, that is, explaining the data structure aspect of blockchain. Table of Contents 1. Algorithm and Arrays 2. Linked Lists 3. Stacks and queues 4. Trees and Graphs 5. Searching and Sorting 6. Greedy Method 7. Beauty of Blockchain

Data Structures and Algorithms

Data Structures and Algorithms
Author: C V Sastry
Publisher: I K International Pvt Ltd
Total Pages: 255
Release: 2018-01-13
Genre: Computers
ISBN: 9385909843
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This book in an outcome of long years of teaching experience for undergraduate as well as post graduate students, and is an attempt to put together all the essential topics of data structures and Algorithms for easy reference. The under-graduate students of computer science and engineering, post-graduate students of computer applications and computer science and engineering will find this book very useful. It contains several multiple choice questions under each chapter which will be useful for those who aspire to write the GATE examination.

C++17 Standard Library Quick Reference

C++17 Standard Library Quick Reference
Author: Peter Van Weert
Publisher: Apress
Total Pages: 308
Release: 2019-07-31
Genre: Computers
ISBN: 1484249232
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This quick reference is a condensed guide to the essential data structures, algorithms, and functions provided by the C++17 Standard Library. It does not explain the C++ language or syntax, but is accessible to anyone with basic C++ knowledge or programming experience. Even the most experienced C++ programmer will learn a thing or two from it and find it a useful memory-aid. It is hard to remember all the possibilities, details, and intricacies of the vast and growing Standard Library. This handy reference guide is therefore indispensable to any C++ programmer. It offers a condensed, well-structured summary of all essential aspects of the C++ Standard Library. No page-long, repetitive examples or obscure, rarely used features. Instead, everything you need to know and watch out for in practice is outlined in a compact, to-the-point style, interspersed with practical tips and well-chosen, clarifying examples. This new edition is updated to include all Standard Library changes in C++17, including the new vocabulary types std::string_view, any, optional, and variant; parallel algorithms; the file system library; specialized mathematical functions; and more. What You Will LearnGain the essentials that the C++ Standard Library has to offerUse containers to efficiently store and retrieve your dataInspect and manipulate your data with algorithms See how lambda expressions allow for elegant use of algorithmsDiscover what the standard string class provides and how to use itWrite localized applicationsWork with file and stream-based I/OPrevent memory leaks with smart pointersWrite safe and efficient multi-threaded code using the threading libraries Who This Book Is For All C++ programmers, irrespective of their proficiency with the language or the Standard Library. A secondary audience is developers who are new to C++, but not new to programming, and who want to learn more about the C++ Standard Library in a quick, condensed manner.

Data Structures And Algorithms

Data Structures And Algorithms
Author: Harry. H. Chaudhary.
Publisher: Programmers Mind LLC New York.
Total Pages: 124
Release: 2014-10-01
Genre: Computers
ISBN:
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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

A Common-Sense Guide to Data Structures and Algorithms, Second Edition

A Common-Sense Guide to Data Structures and Algorithms, Second Edition
Author: Jay Wengrow
Publisher: Pragmatic Bookshelf
Total Pages: 714
Release: 2020-08-10
Genre: Computers
ISBN: 1680508059
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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.

Guide to Data Structures

Guide to Data Structures
Author: James T. Streib
Publisher: Springer
Total Pages: 385
Release: 2017-12-30
Genre: Computers
ISBN: 3319700855
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This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the fundamentals of data structures, enabling the reader to quickly learn the key concepts, and providing a strong foundation for later studies of more complex topics. The coverage includes discussions on stacks, queues, lists, (using both arrays and links), sorting, and elementary binary trees, heaps, and hashing. This content is also a natural continuation from the material provided in the separate Springer title Guide to Java by the same authors.Topics and features: reviews the preliminary concepts, and introduces stacks and queues using arrays, along with a discussion of array-based lists; examines linked lists, the implementation of stacks and queues using references, binary trees, a range of varied sorting techniques, heaps, and hashing; presents both primitive and generic data types in each chapter, and makes use of contour diagrams to illustrate object-oriented concepts; includes chapter summaries, and asks the reader questions to help them interact with the material; contains numerous examples and illustrations, and one or more complete program in every chapter; provides exercises at the end of each chapter, as well as solutions to selected exercises, and a glossary of important terms. This clearly-written work is an ideal classroom text for a second semester course in programming using the Java programming language, in preparation for a subsequent advanced course in data structures and algorithms. The book is also eminently suitable as a self-study guide in either academe or industry.

Data Structures and Algorithms in C++

Data Structures and Algorithms in C++
Author: Michael T. Goodrich
Publisher:
Total Pages: 714
Release: 2004
Genre: Computers
ISBN:
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Writing with a consistent object-oriented viewpoint, the authors put an emphasis on design and analysis with carefully developed C++ code and corresponding concepts.

Data Structures and Algorithms in Java

Data Structures and Algorithms in Java
Author: Michael T. Goodrich
Publisher: John Wiley & Sons
Total Pages: 736
Release: 2014-01-28
Genre: Computers
ISBN: 1118771338
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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.

An Introduction to Data Structures and Algorithms

An Introduction to Data Structures and Algorithms
Author: J.A. Storer
Publisher: Springer Science & Business Media
Total Pages: 609
Release: 2012-12-06
Genre: Computers
ISBN: 146120075X
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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

Algorithms and Data Structures for External Memory

Algorithms and Data Structures for External Memory
Author: Jeffrey Scott Vitter
Publisher: Now Publishers Inc
Total Pages: 192
Release: 2008
Genre: Computers
ISBN: 1601981066
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Describes several useful paradigms for the design and implementation of efficient external memory (EM) algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.