How to Think about Algorithms

Jeff Edmonds

ISBN 10: 1009302132 ISBN 13: 9781009302135

Verlag: Cambridge University Press, 2024

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New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verk�ufers FM-9781009302135

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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.

�ber die Autorin bzw. den Autor: Jeff Edmonds is Professor in the Department of Electrical Engineering and Computer Science at York University, Canada.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

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Titel: How to Think about Algorithms
Verlag: Cambridge University Press
Erscheinungsdatum: 2024
Einband: PAP
Zustand: New
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How to Think about Algorithms

Edmonds, Jeff

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Edmonds, Jeff

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Jeff Edmonds

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ISBN 10: 1009302132 ISBN 13: 9781009302135

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Taschenbuch. Zustand: 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. Artikel-Nr. 9781009302135

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Jeff Edmonds

Verlag: Cambridge University Pr., 2024

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How to Think about Algorithms

Edmonds, Jeff

Verlag: Cambridge University Press, 2024

ISBN 10: 1009302132 ISBN 13: 9781009302135

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How to Think about Algorithms

Edmonds, Jeff

Verlag: Cambridge University Press, 2024

ISBN 10: 1009302132 ISBN 13: 9781009302135

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How to Think about Algorithms

Jeff Edmonds

Verlag: Cambridge University Pr. M�r 2024, 2024

ISBN 10: 1009302132 ISBN 13: 9781009302135

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Taschenbuch. Zustand: 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. Artikel-Nr. 9781009302135

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