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This 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.
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How to Think About Algorithms
July 2008, Cambridge University Press
Hardcover
in English
0521849314 9780521849319
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How to Think About Algorithms
2008, Cambridge University Press
eBook
in English
051141045X 9780511410451
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How to Think About Algorithms
July 2008, Cambridge University Press
Paperback
in English
0521614104 9780521614108
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Feedback?December 19, 2023 | Edited by ImportBot | import existing book |
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