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How to Think About Algorithms
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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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Cambridge University Press; May 2008
464 pages; ISBN 9780511410451
Read online, or download in secure PDF format
464 pages; ISBN 9780511410451
Read online, or download in secure PDF format
Subject categories
- Academic > Mathematics > General > Logic, Symbolic and mathematical
- Academic > Mathematics > General > Combinatory logic
- Academic > Mathematics > General > Algorithms; Congresses
- Academic > Mathematics > Instruments and machines
- Academic > Mathematics > Analytic mechanics
- Academic > Logic > Combinatory logic
- Academic > Logic > Algorithms; Congresses
- Academic > Computer Science
- Computers > Programming > Algorithms
- Computers > Data Modeling & Design
- Computers > Mathematical & Statistical Software
ISBNs
051141045X
9780511410451
9780521849319
9781139637268