Analysis of Algorithms ─ An Active Learning Approach
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Although computers can work ever faster and more efficiently, the human mind still prevails. McConnell (Canisius College) continues in his efforts to involve students closely in improving algorithm design, raising awareness of the impact of algorithms on the efficiency of a program, and developing skills necessary to analyze algorithms used in programs by using a step-by-step, highly interactive approach. He covers the basics of analysis and then works through recursive, searching and selection, sorting, numeric, formal language, matching, graph, and parallel algorithms, leading to other algorithmic techniques and commentary on the limits of computation. He has updated this edition to follow the recommendations of the ACM/SIGCSE 2001 task force and to include such topics as automata theory and recursive algorithms as well as new examples and more real-world programming projects. Annotation c2008 Book News, Inc., Portland, OR (booknews.com)
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