β Scribed by Alfred V. Aho; John E. Hopcroft; Jeffrey D. Ullman
No coin nor oath required. For personal study only.
With this text, you gain an understanding of the fundamental concepts of algorithms, the very heart of computer science. It introduces the basic data structures and programming techniques often used in efficient algorithms. Covers use of lists, push-down stacks, queues, trees, and graphs. Later chapters go into sorting, searching and graphing algorithms, the string-matching algorithms, and the Schonhage-Strassen integer-multiplication algorithm. Provides numerous graded exercises at the end of each chapter. 0201000296B04062001
π SIMILAR VOLUMES
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Bibliography: p. [451]-462
<span>These are my lecture notes from CS681: Design and Analysis of AlgoΒ rithms, a one-semester graduate course I taught at Cornell for three consecΒ utive fall semesters from '88 to '90. The course serves a dual purpose: to cover core material in algorithms for graduate students in computer scienc
<i>Numerical Methods</i> provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook conside