How to Think About Algorithms

by Jeff Edmonds

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.

Genres: Algorithms, Computer Science, Programming, Computers, Technology

466 pages, Kindle Edition

First published January 1, 2008

Reviews

[Skyler Layne · Rating 5 out of 5]

A great book, provides a very unique perspective on one of the difficult topics of computer science. Jeff puts the problems in perspective with some out of the ordinary ways to think and classify problems. He walks through some common problems with his unique processes that encourage a common approach of similar problems as opposed to memorizing solutions.