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Total Size:
10.2 MB
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CFFC699311CDC558B24088454836BA74644575D4
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Aug. 4, 2025, 2:08 p.m.
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(Last updated: Aug. 4, 2025, 2:10 p.m.)
| File | Size |
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| Chopra R., Raheja S. Design And Analysis of Algorithms 2020.pdf | 10.2 MB |
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119.7 MB
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2023-07-02
| Uploaded by indexFroggy | Size 119.7 MB | Health [ 0 /1 ] | Added 2023-07-02 |
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SOURCE: Chopra R., Raheja S. Design And Analysis of Algorithms 2020
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MEDIAINFO
Textbook in PDF format We believe that a course on Design and Analysis of Algorithms (DAA) should focus on imparting to students the knowledge and skills that are needed to successfully develop and execute an algorithm that is efficient in terms of its space and memory requirements. It is worth pointing out that according to Niklaus Wirth: Data Structures + Algorithms = Programs If data structures form a backbone of a program then algorithm answers to ‘how’ part of the program. Thus, an efficient design of algorithms is a must for a better program. Hence, this book. The depth of the book focusses on the kinds of problems that the students stumble across. This book illustrates in a practical way a variety of methods, from simple to complex, to help you analyse data algorithms. This book has been designed to be very example-based and practical. We strongly believe that the student learns best by working through examples. This book has two approaches: Large conceptual development to give students an understanding of algorithms development. So, students get more intuition and understand the concepts and applications. Emphasis on time and space complexities. Preface. Acknowledgements. AICTE New Syllabus. Introduction to Algorithms. Divide-and-Conquer. Greedy Algorithms. Dynamic Programming. Backtracking. Branch and Bound (B & B). Pattern Matching (Strings). Trees. Graphs. Tractable and Intractable Problems. Advanced Topics. Appendices. Index
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