How to Think About Algorithms

Cambridge University Press (2008)
Abstract
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author helps students avoid the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. Part of the goal is to teach the students to think abstractly. Without getting bogged with formal proofs, the book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a slow and clear manner accessible to second- or third-year students of computer science, preparing them to find their own innovative ways to solve problems
Keywords Algorithms Study and teaching  Loops (Group theory Study and teaching  Invariants Study and teaching  Recursion theory Study and teaching
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Call number QA9.58.E36 2008
ISBN(s) 0521849314   9780521849319
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