Items related to How to Think about Algorithms
- PublisherCambridge University Press
- Publication date2024
- ISBN 10 1009302140
- ISBN 13 9781009302142
- BindingHardcover
- LanguageEnglish
- Edition number2
- Number of pages464
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How to Think About Algorithms
Published by
Cambridge University Press, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
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How to Think About Algorithms
Published by
Cambridge University Press, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
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How to Think about Algorithms
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ISBN 10: 1009302140
ISBN 13: 9781009302142
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How to Think about Algorithms
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ISBN 10: 1009302140
ISBN 13: 9781009302142
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Hardcover. Condition: Brand New. 2nd edition. 500 pages. 9.90x6.90x1.30 inches. In Stock. This item is printed on demand. Seller Inventory # __1009302140
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How to Think About Algorithms
Published by
Cambridge University Press, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
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How to Think about Algorithms
Published by
Cambridge University Press, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
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How to Think about Algorithms (Hardcover)
Published by
Cambridge University Press, Cambridge, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
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Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
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Hardcover. Condition: new. Hardcover. 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. The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Its approachability and clarity make it ideal as both a main course text or as a supplementary book for students who find other books challenging. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009302142
Quantity: 1 available
Seller Image
How to Think About Algorithms
Published by
Cambridge University Press, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
Used
Hardcover
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 45943797
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How to Think about Algorithms
Published by
Cambridge University Press, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
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hardcover. Condition: New. 2nd Edition. Special order direct from the distributor. Seller Inventory # ING9781009302142
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How to Think about Algorithms (Hardcover)
Published by
Cambridge University Press, Cambridge, 2024
ISBN 10: 1009302140
ISBN 13: 9781009302142
New
Hardcover
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 3 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Its approachability and clarity make it ideal as both a main course text or as a supplementary book for students who find other books challenging. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781009302142
Quantity: 1 available