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How to Think about Algorithms
How to Think about Algorithms
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This textbook provides a revised and updated approach to teaching algorithms,with step-by-step methods,expert guidance,and valuable insights. It includes a new chapter on machine learning algorithms and over 150 new exercises,with selected solutions and a full solutions manual available online. It helps students to think abstractly and prepares them for creating their own innovative ways to solve problems.
Format: Hardback
Length: 464 pages
Publication date: 07 March 2024
Publisher: Cambridge University Press
Discover the world of algorithms and their intricate designs with this revised and student-friendly textbook. Unlike other algorithms books, this one is designed to be approachable, offering straightforward methods that are easy to understand and numerous valuable insights. By avoiding the need for excessive formal proof, students will benefit from step-by-step approaches to developing algorithms, expert guidance on common pitfalls, and a broader perspective on the subject.
Revised and updated for the second edition, this textbook includes a new chapter on machine learning algorithms, as well as concise key concept summaries at the end of each part for quick reference. Additionally, over 150 new exercises have been added, including selected solutions to allow students to assess their progress and a comprehensive solutions manual available online for instructors.
One of the unique features of this text is its ability to explain complex topics such as loop invariants in a clear and concise manner, helping students to think abstractly and preparing them for creating innovative solutions to problems. With its comprehensive coverage and engaging writing style, this textbook is an invaluable resource for anyone seeking to deepen their understanding of algorithms and their applications in various fields.
Weight: 1316g
Dimension: 178 x 252 x 34 (mm)
ISBN-13: 9781009302142
Edition number: 2 Revised edition
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