Introduction To Algorithms
Download Introduction to Algorithms By Thomas H. Cormen Charles E. Leiserson & Ronald L. Rivest – This book provides a comprehensive introduction to the modern study of computer algorithms. It presents many algorithms và covers them in considerable depth, yet makes their design và analysis accessible to lớn all levels of readers. We have tried to keep explanations elementary without sacrificing depth of coverage or mathematical rigor.
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Each chapter presents an algorithm, a kiến thiết technique, an application area, or a related topic. Algorithms are described in English and in a pseudocode designed khổng lồ be readable by anyone who has done a little programming. The book contains 244 figures—many with multiple parts—illustrating how the algorithms work. Since we emphasize efficiency as a thiết kế criterion, we include careful analyses of the running times of all our algorithms.
The text is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Because it discusses engineering issues in algorithm kiến thiết, as well as mathematical aspects, it is equally well suited for self-study by technical professionals.
In this, the third edition, we have once again updated the entire book. The changes cover a broad spectrum, including new chapters, revised pseudocode, và a more active sầu writing style.
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About Author
Thomas H. Cormen is Professor of Computer Science and former Director of the Institute for Writing & Rhetoric at Dartmouth College. He is the coauthor (with Charles E. Leiserson, Ronald L. Rivest, và Clifford Stein) of the leading textbook on computer algorithms, Introduction to Algorithms (third edition, MIT Press, 2009).
Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology.
Ronald L. Rivest is Andrew và Erna Viterbi Professor of Electrical Engineering & Computer Science at the Massachusetts Institute of Technology.
Clifford Stein is Professor of Industrial Engineering và Operations Retìm kiếm at Columbia University.
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