How to Think about Algorithms - Tapa blanda

Edmonds, Jeff

 
9781009302135: How to Think about Algorithms
Tapa blanda
ISBN 10: 1009302132 ISBN 13: 9781009302135
Editorial: Cambridge University Press, 2024

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Jeff Edmonds is Professor in the Department of Electrical Engineering and Computer Science at York University, Canada.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Cambridge University Press
Año de publicación
2024
Idioma
Inglés
ISBN 10 
1009302132
ISBN 13 
9781009302135
Encuadernación
Tapa blanda
Número de edición
2
Número de páginas
616
Contacto del fabricante
no disponible
Persona responsable
Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
Francia

Otras ediciones populares con el mismo título

9781009302142: How to Think about Algorithms

Edición Destacada

ISBN 10:  1009302140 ISBN 13:  9781009302142
Editorial: Cambridge University Press, 2024
Tapa dura