000 01410 a2200193 4500
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020 _a9781107439887
040 _cIIT Kanpur
041 _aeng
082 _a518.1
_bEd56h
100 _aEdmonds, Jeff
245 _aHow to think about algorithms
_cJeff Edmonds
260 _bCambridge University Press
_c2008
_aNew Delhi
300 _axiii, 448p
520 _aThis textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.
650 _aAlgorithms-study and teaching
942 _cBK
999 _c559948
_d559948