How to Think About Algorithms
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. Get and download textbook How to Think About Algorithms for free
How to Think about Algorithms: Jeff Edmonds
This book is not one of them. 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 How to Think About Algorithms new edition
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How to think about algorithms: Jeff Edmonds
How to Think about Algorithms, ISBN-13: 9780521849319, ISBN-10: 0521849314
author jeff edmonds format paperback language english publication year 19 05 2008 subject computing it subject 2 computing textbooks study guides payment shipping rates returns how to think about algorithms product category books isbn 0521614104 title how to think about algorithms ean 9780521614108 authors edmonds jeff binding paperback publisher cambridge university press publication date 2008 05 19 pages 472 signed false first edition false dust jacket false list price msrp 26 99 height 0 9000
Textbook that teaches students how to think about algorithms like an expert, without getting bogged down in formal proof.
How to Think About Algorithms Textbook
This book is not one of them. 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
These insights are presented in a slow
