2nd ed. — Cambridge: Cambridge University Press, 2024. — 617 p. — ISBN 1009302140.
Understand algorithms and their design with this
revised student-friendly textbook. Unlike other algorithms books, this one is approachable, the methods it explains are straightforward, and the insights it provides are
numerous and valuable. Without
grinding through lots of formal proof, students will benefit from
step-by-step methods for developing algorithms, expert guidance on common
pitfalls, and an appreciation of the bigger picture.
Revised and updated, this second edition includes a
new chapter on machine learning algorithms, and concise key concept summaries at the end of each part for quick reference. Also
new to this edition are more than
150 new exercises: selected solutions are included to let students check their progress, while a
full solutions manual is available
online for instructors. No other text explains complex topics such as
loop invariants as clearly, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.
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