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Design And Analysis Of Algorithms 1St Edition 2020 at Meripustak

Design And Analysis Of Algorithms 1St Edition 2020 by Chopra, Rajiv , Raheja, Shipra, New Age International (P) Ltd Publishers

Books from same Author: Chopra, Rajiv , Raheja, Shipra

Books from same Publisher: New Age International (P) Ltd Publishers

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  • General Information  
    Author(s)Chopra, Rajiv , Raheja, Shipra
    PublisherNew Age International (P) Ltd Publishers
    Edition1st Edition
    ISBN9789388818186
    Pages630
    BindingSoftbound
    LanguageEnglish
    Publish YearJanuary 2020

    Description

    New Age International (P) Ltd Publishers Design And Analysis Of Algorithms 1St Edition 2020 by Chopra, Rajiv , Raheja, Shipra

    Design and Analysis of Algorithms (DAA) book, based on the new revised syllabus by AICTE, for Engineering courses of CSE and Information Technology branches, teaches you how to write efficient algorithms for real–life applications. Whether you are a novice or an experienced programmer, this book will provide you with a clear understanding of design and analysis of algorithms. This is the foundation of many structured as well as object-oriented programming languages such as C/C++, PYTHON, Objective–C, Java. This book teaches algorithm development with examples in a simple and easy language that is suitable for both students as well as the professors alike. The book follows a good pedagogy of summary, multiple choice questions, conceptual short questions with answers at the end of each chapter that makes the book ideally suited for classroom use or for self–study. In a sharply converging world where information is the buzzword, an efficient design of algorithms has become indispensable for promoting better level of interactivity and visualization. Students of B. Tech. (CSE/IT/ ECE/EEE), BCA, MCA, B. Sc. and M. Sc. (Computer Science) will be benefitted from this book. Some salient features of the book are: - More emphasis on algorithm design techniques. To show that algorithms are fun and exciting. Examples and exercises related to real–world applications. Several worked examples, MCQs, conceptual short questions and exercises (pedagogy). Use of pseudo–code to enable students to concentrate more on algorithms and get to see the “Big picture” before coding. Several case studies are discussed. Appendices provide the laboratory experiments (programs) that may be used by a student as a part of lab–workbook.



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