Computer Science Textbooks from Cambridge University Press - Spring 2022

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Higher Education | Computer Science

FOUNDATIONS

Connecting Discrete Mathematics and Computer Science Volume 2 Second edition David Liben-Nowell

An approachable textbook connecting the mathematical foundations of computer science to broad-ranging and compelling applications throughout the field. May 2022 253 x 203 mm c.700pp HB, EB, HE, CO 978-1-00-915049-1 Hardback £57.99 / US$74.99 X

Probability and Computing Randomization and Probabilistic Techniques in Algorithms and Data Analysis Second edition Michael Mitzenmacher Eli Upfal

This greatly expanded new edition offers a comprehensive introduction to randomization and probabilistic techniques in modern computer science.

How to Prove It A Structured Approach Third edition Daniel J. Velleman

Helps students transition from problem solving to proving theorems, with a new chapter on number theory and over 150 new exercises.

An Invitation to Combinatorics Shahriar Shahriari

A conversational introduction to combinatorics for upper undergraduates, emphasizing problem solving and active student participation. Cambridge Mathematical Textbooks

July 2019 228 x 152 mm 468pp 47 b/w illus. PB, HB, EB, CO 978-1-108-43953-4 Paperback £29.99 / US$37.99 X

July 2021 246 x 189 mm 628pp HB, EB, HE, CO 978-1-108-47654-6 Hardback £36.99 / US$47.99 X

Linear Algebra and Learning from Data

July 2017 253 x 177 mm 484pp 8 b/w illus. 1 table HB, EB 978-1-107-15488-9 Hardback £47.99 / US$69.99 X

Combinatorial Mathematics

Game Theory Basics

Douglas B. West

Bernhard von Stengel

Introduction to Applied Linear Algebra

This is the most readable and thorough graduate textbook and reference for combinatorics, covering enumeration, graphs, sets, and methods.

A lively introduction to Game Theory, ideal for students in mathematics, computer science, or economics.

Vectors, Matrices, and Least Squares Stephen Boyd Lieven Vandenberghe

From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.

August 2021 246 x 189 mm 374pp PB, HB, HE, CO 978-1-108-82423-1 Paperback £34.99 / US$44.99 X

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

January 2019 234 x 191 mm 446pp HB 978-0-692-19638-0 Hardback £58.99 / US$74.99 X

July 2020 246 x 189 mm 988pp 2200 exercises HB, EB 978-1-107-05858-3 Hardback £59.99 / US$77.99 X

Gilbert Strang

June 2018 246 x 189 mm 474pp HB, EB, HE, CO 978-1-316-51896-0 Hardback £35.99 / US$50.99 X

www.cambridge.org/compscitextbooks

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