How to Think about Algorithms
Edmonds, Jeff
ISBN 10: 1009302132 ISBN 13: 9781009302135
Published by Cambridge University Press, 2024
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Exceptionally student-friendly, now with over 150 new exercises, key concept summaries, and a new chapter on machine learning algorithms.
About the Author: Jeff Edmonds is Professor in the Department of Electrical Engineering and Computer Science at York University, Canada.
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Bibliographic Details
Title: How to Think about Algorithms
Publisher: Cambridge University Press
Publication Date: 2024
Binding: Soft cover
Condition: New
Edition: 2nd Edition
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How to Think about Algorithms
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ISBN 10: 1009302132
ISBN 13: 9781009302135
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How to Think about Algorithms
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ISBN 10: 1009302132
ISBN 13: 9781009302135
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How to Think about Algorithms
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ISBN 10: 1009302132
ISBN 13: 9781009302135
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How to Think about Algorithms
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ISBN 10: 1009302132
ISBN 13: 9781009302135
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Taschenbuch. Condition: Neu. How to Think about Algorithms | Jeff Edmonds | Taschenbuch | Englisch | 2024 | Cambridge University Pr. | EAN 9781009302135 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Seller Inventory # 126970144
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How to Think about Algorithms
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Cambridge University Pr. Mär 2024, 2024
ISBN 10: 1009302132
ISBN 13: 9781009302135
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Taschenbuch. Condition: Neu. Neuware -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. 464 pp. Englisch. Seller Inventory # 9781009302135
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How to Think about Algorithms
Published by
Cambridge University Pr. Mär 2024, 2024
ISBN 10: 1009302132
ISBN 13: 9781009302135
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 464 pp. Englisch. Seller Inventory # 9781009302135
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How to Think about Algorithms
Published by
Cambridge University Pr. Mär 2024, 2024
ISBN 10: 1009302132
ISBN 13: 9781009302135
New
Taschenbuch
Seller: Wegmann1855, Zwiesel, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -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. Seller Inventory # 9781009302135