 Название: Design and Analysis of Algorithms: A Contemporary Perspective
Автор: Sandeep Sen, Amit Kumar
Издательство: Cambridge University Press
Год: 2019
Страниц: 395
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB
The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.
The text introduces readers to different paradigms of computing in addition to the traditional approach of discussing fundamental computational problems and design techniques in the random access machine model. Alternate models of computation including parallel, cache-sensitive design and streaming algorithms are dealt in separate chapters to underline the significant role of the underlying computational environment in the algorithm design. The treatment is made rigorous by demonstrating new measures of performances along with matching lower bound arguments.
The present book is intended for students who have acquired skills in programming as well as basic data structures like arrays, stacks, lists, and even some experience with balanced trees. The authors, with a long experience behind them in teaching this subject, are convinced that algorithm design can be a deceptively hard subject and a gentle exposure is important for, both, understanding and sustaining interest.
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Design and Analysis of Algorithms: A Contemporary Perspective 
