Design and analysis of algorithms books by indian authors
Algorithms Design and Analysis by Udit Agarwal PDF - EduTechLearnersA List of algorithm books but without data structure? I think data structure is equally important as algorithms and you should include some books on data structure as well. I think u are confused. Those books make mention of that topic. Just looking up on those books. Javin Paul where is the greatest and most awarded toughest book of all time. The book is the art of programming which is missing in the list which is written by famous computer scientist Donald knuth.
Design and Analysis of Algorithms
By Thomas H. Cormen , Charles E. Leiserson , Ronald L. Rivest and Clifford Stein. Hardcover not for sale on the Indian subcontinent. Paperback not for sale in the US or Canada. The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow.
Explore Plus. Big Diwali Sale Starts in : 01 days 00 hrs : 33 mins : 29 secs. Higher Education and Professional Books. Applied Sciences and Other Technologies Books. Description Valued by students and trusted by instructors, Introduction to the Design and Analysis of Algorithms employs a comprehensive taxonomy of algorithm-design techniques that is more powerful and intuitive than the traditional approach.
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Design and Analysis of Algorithms is designed to serve as a textbook for the undergraduate students of computer science engineering and information technology as well as postgraduate students of computer applications. The book aims to empower students with in-depth knowledge of the fundamental concepts and the design, analysis, and implementation aspects of algorithms. Suitable for: Design and Analysis of Algorithms is designed to serve as a textbook for the undergraduate students of computer science engineering and information technology as well as postgraduate students of computer applications. The book begins with the basics of algorithms and problem-solving concepts followed by an introduction to algorithm writing, and analysis of iterative and recursive algorithms. In-depth explanations and designing techniques of various types of algorithms used for problem-solving such as brute force technique, divide-and-conquer technique, decrease-and-conquer strategy, greedy approach, transform-and-conquer strategy, dynamic programming, branch-and-bound approach, and backtracking are provided in the book.