Mathematics & Statistics HE Catalogue 2025

Higher Education

Mathematics & Statistics 2025 Catalogue

1

Instructors, order your examination copy If you are considering using one of our textbooks as a set text for your course, then you can request a free examination copy.

Online Visit cambridge.org/highereducation, click Request instructor examination copy on any textbook page and complete the online form.

You will then be able to track the progress of your order in your instructor account.

Email Email the details of your chosen textbook, along with your affiliation, course name, level and number of students to: Europe: lecturers@cambridge.org North America: collegesales@cambridge.org

Contact your rep If you are an instructor with questions about our textbooks or courseware, including access to instructor materials and examination copies, please contact your local Higher Education Sales Representative for assistance. cambridge.org/contactmyrep

2

cambridge.org/mathtextbooksonline

Contents Introductory Mathematics

6

Applied Mathematics

12

Transition to Higher Mathematics

6

Mathematics for Computer and Data Science

13

Probability

13

Statistics and Data Science

14

Mathematical Finance and Actuarial Science

16

Discrete Mathematics, Logic and Sets Linear Algebra

7 8

Abstract Algebra

9

Analysis

9

Geometry and Topology

10

Computational Mathematics

10

For New and Forthcoming Titles See Page 4

Key to formats

Introduction to Proofs and Proof Strategies Shay Fuchs

With a conversational style and no prerequisites, this transition to advanced mathematics emphasizes creative thinking and problem-solving.

Cambridge Mathematical Textbooks June 2023 254 x 178 mm 349pp PB, EB, HE 978-1-00-909628-7 Paperback £34.99 / US$44.99 X

PB = Paperback HB = Hardback EB = eBook HE = Digital institutional subscription access from the Higher Education website CO = Digital institutional perpetual access from Cambridge Core

Visit our Higher Education website for more information, including: • Textbook listings across all subject areas • Supplementary resources for instructors and students • Affordable print and digital purchase options • Instructor examination copies cambridge.org/highereducation

The bibliographic details and title information provided in the product listings were correct at the time of going to press. Product publication dates and prices may be subject to change.

cambridge.org/mathtextbooksonline

3

New and Forthcoming Postek, Zocca, Gromicho and Kantor

fantastic textbook on on! It contains the right eoretical and more practical on aspects.

Hertog, University of m”

HANDS-ON MATHEMATICAL OPTIMIZATION WITH PYTHON

k delivers state-of-the-art nd their implementation. ecommend it to anyone in practical application of on.”

odruff, University of , Davis

k is a great tool for instructudents in Engineering, Analytics and many other earning Mathematical ion using Python code ”

rtin-Barragan, University of h

ar guidance and hands-on this textbook empowers o not only understand but ement optimization techectively.”

Shetty, Drexel University

s

HANDS-ON

MATHEMATICAL OPTIMIZATION WITH PYTHON

KRZYSZTOF POSTEK ALESSANDRO ZOCCA JOAQUIM A. S. GROMICHO JEFFREY C. KANTOR

Hands-On Mathematical Optimization with Python Krzysztof Postek, Boston Consulting Group, Amsterdam Alessandro Zocca, Vrije Universiteit Amsterdam Joaquim A. S. Gromicho, University of Amsterdam & ORTEC Jeffrey C. Kantor, University of Notre Dame, Indiana A hands-on Python-based guide to mathematical optimization for undergraduates and graduates, with numerous applications and code samples.

978-1-009-49350-5 | Paperback | £39.95/US$49.99 | 387pp | 2025

This textbook is designed for students in statistics, data science, biostatistics, engineering, and physical science programs who need a solid course in the fundamental concepts, methods and theory of statistics to understand, use, and build on modern statistical techniques for complex problems. Traditional courses on mathematical statistics often cover topics that have little relevance to some of today’s most important research challenges. This book covers more modern topics, like regression trees, large-scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem.

•

Theory and methods are applied to practical problems so students see the connection between theory and applications.

More than 250 high-quality figures, 180 involving actual data.

Data and R code available on the website so students can reproduce the examples and complete hands-on exercises.

Steven E. Rigdon, Saint Louis University, Missouri Ronald D. Fricker, Jr, Virginia Polytechnic Institute and State University Douglas C. Montgomery, Arizona State University • •

“An excellent resource for students with diverse backgrounds, offering a thorough exploration of fundamental topics in statistics. The clear explanation of concepts, methods, and theory, coupled with an abundance of practical examples, provides a solid foundation to help students understand statistical principles and bridge the gap between theory and application.

This book offers invaluable insights and guidance for anyone seeking to master the principles of statistics. I highly recommend it.”

Haijun Gong, Saint Louis University

“Professors Rigdon, Fricker and Montgomery have put together an impressive volume that covers not only basic probability and basic statistics, but also includes extensions in a number of directions, all of which have immediate relevance to the work of practitioners in quantitative fields. Suffused with common sense and insights about real data and problems, it is both approachable and precise. I’m excited about the inclusion of material on power and on multiple testing, both of which will help users become smarter about what their analyses can do, and I applaud their omission of too much theory. I also appreciate their use of R and of real data. This would be an excellent text for undergraduate or graduate-level data analysts.”

For students in statistics, data science, engineering, and science programs needing a solid course in statistical theory and methods.

Sam Buttrey, Naval Postgraduate School (NPS)

ProbStatsforDS

Introduction to Probability and Statistics for Data Science with R

The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. In this way, students get the big picture about how statistics works and can be applied.

RIGDON FRICKER MONTGOMERY

9781009568357 Rigdon et al. PB C M Y K

Introduction to Probability and Statistics for Data Science With R

For Instructors Instructor's manual PowerPoint slides and JPEGs of figures from the book For Students Data repository Code repository Selected solutions

Cover image: Yuichiro Chino/ Moment via Getty images.

Cover design by Zoe Naylor.

978-1-00956-835-7 | Paperback | £67.99/US$89.99 | 828pp | 2025

Derivatives Pricing Frédéric D. Vrins, Université Catholique de Louvain, Belgium A masters-level overview of the mathematical concepts needed to fully grasp the art of derivatives pricing – ideal for anyone considering a career in quantitative finance.

978-1-009-55465-7 | Paperback | £59.99/US$79.99 | 460pp | 2025

Advanced Linear Algebra A Concise Text with Contemporary Applications Second Edition Yisong Yang, New York University This engaging text helps advanced undergraduate students grasp core concepts in linear algebra and examines contemporary applications.

978-1-009-58984-0 | Paperback | c.£39.99/c.US$49.99 | c.466pp | 2025

Essential Mathematics for Convex Optimization Fatma Kilinç-Karzan, Carnegie Mellon University Arkadi Nemirovski, Georgia Institute of Technology Introduces both convex analysis and modern topics in optimization in a mathematically rigorous yet accessible way.

978-1-009-51052-3 | Hardback | c.£39.99/c.US$49.99 | c.450pp | 2025

4

cambridge.org/mathtextbooksonline

Introduction to

Probability and Statistics for Data Science with R

STEVEN E. RIGDON RONALD D. FRICKER JR. DOUGLAS C. MONTGOMERY

he ce

CHENG THE J

Sets

New and Forthcoming

in Context

ant Blunders

oad like ienced ke a

ally is. Cheng relying on — indeed, his.”

Y OF ABSTRACTION

rea body ematics.”

THE

J YOF

ABSTRAC TION An Exploration of Math, Category Theory, and Life

EUGENIA CHENG Author of How to Bake Pi

New in Paperback

The Joy of Abstraction An Exploration of Math, Category Theory, and Life Eugenia Cheng, School of the Art Institute of Chicago A uniquely accessible introduction to abstract mathematics and category theory written by popular science author of How to Bake Pi.

978-1-108-70844-9 | Paperback| £14.99/US$19.95 | 438pp | 2024

From Counting to Continuum

“This outstanding book will take you on an engaging and exciting guided tour of the real numbers that explains the mysteries and conveys the magic of this beautiful conceptual foundation for mathematical analysis.”

James R. Schatz, Johns Hopkins University Applied Physics Laboratory

Edward Scheinerman, Johns Hopkins University

“Deep and elegant ideas are presented at just the right level of detail to keep the reader interested and engaged.”

Maria Chudnovsky, Princeton University

Whole numbers, fractions, decimals: we frequently use them, but what are they exactly? This book explores the core ideas behind them.

“Scheinerman is a master expositor who here presents a patient and thorough entry into the world of real numbers … that is accessible to a wide audience.”

David Bressoud, Macalester College

From Counting to Continuum

What Are Real Numbers, Really?

Scheinerman

Understanding the natural numbers, which we use to count things, comes naturally. Meanwhile, the real numbers, which include a wide range of numbers from whole numbers to fractions and exotic numbers like π, are, frankly, really difficult to describe rigorously. Instead of waiting to take a theorem–proof graduate course to appreciate the real numbers, readers new to universitylevel mathematics can explore the core ideas behind the construction of the real numbers in this friendly introduction. Beginning with the intuitive notion of counting, the book progresses step-by-step to the real numbers. Each sort of number is defined in terms of a simpler kind by developing an equivalence relation on a previous idea. We find the finite sets’ equivalence classes are the natural numbers. Integers are equivalence classes of pairs of natural numbers.

Modular numbers are equivalence classes of integers. And so forth. Exercises and their solutions are included.

From

Counting to Continuum What Are Real Numbers, Really?

Edward Scheinerman

Cover image: Courtesy of author

978-1-009-53867-1 | Paperback | £19.99/US$24.99 | 228pp | 2025 Designed by EMC Design Ltd

TOMASO ASTE

Probabilistic Data-Driven Modeling

Probabilistic Data-Driven Modeling Tomaso Aste, University College London A probabilistic data-driven modeling toolbox to help students and researchers characterize, classify and model real complex systems.

978-1-009-22185-6 | Hardback |

£54.99/US$74.99 | 420pp | 2025

cambridge.org/mathtextbooksonline

5

Introductory Mathematics

Transition to Higher Mathematics

Now in Paperback

The Joy of Abstraction

Chance, Strategy, and Choice

Quantitative Reasoning

An Exploration of Math, Category Theory, and Life Eugenia Cheng

An Introduction to the Mathematics of Games and Elections Samuel Bruce Smith

Thinking in Numbers Eric Zaslow

A uniquely accessible introduction to abstract mathematics and category theory written by popular science author of How to Bake Pi. April 2024 229 x 154 mm 438pp PB, HB, EB, CO 978-1-108-70844-9 Paperback £14.99 / US$19.95 T

This classroom-tested undergraduate textbook is primarily intended for a general education course in game theory at the freshman or sophomore level.

Cambridge Mathematical Textbooks August 2015 253 x 177 mm 352pp 60 b/w illus. 243 tables 300 exercises HB, EB, HE 978-1-107-08452-0 Hardback £35.99 / US$49.99 X

Employs basic mathematical skills to teach students how to address topical, real-world problems using quantitative reasoning.

January 2020 253 x 177 mm 258pp 22 b/w illus. 8 tables PB, HB, EB, HE 978-1-108-41090-8 Paperback £25.99 / US$35.99 X

Introduction to Proofs and Proof Strategies Shay Fuchs

With a conversational style and no prerequisites, this transition to advanced mathematics emphasizes creative thinking and problemsolving.

Cambridge Mathematical Textbooks June 2023 254 x 178 mm 349pp PB, EB, HE 978-1-00-909628-7 Paperback £34.99 / US$44.99 X

Transition to Higher Mathematics

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.

July 2019 228 x 152 mm 468pp 47 b/w illus.

PB, HB, EB, HE 978-1-108-43953-4 Paperback £35.99 / US$41.99 X

6

Exploring Mathematics An Engaging Introduction to Proof John Meier, Derek Smith

With exercises and projects, Exploring Mathematics supports an active approach to the transition to upperlevel theoretical math courses.

Cambridge Mathematical Textbooks September 2017 253 x 177 mm 338pp 60 b/w illus.

HB, EB, HE 978-1-107-12898-9 Hardback £40.99 / US$53.99 X

cambridge.org/mathtextbooksonline

Towards Higher Mathematics: A Companion Richard Earl

This book allows students to stretch their mathematical abilities and bridges the gap between school and university.

September 2017 247 x 174 mm 540pp 100 b/w illus. 1760 exercises PB, HB, EB, CO 978-1-316-61483-9 Paperback £34.99 / US$44.99 G

All the Math You Missed (But Need to Know for Graduate School) Second edition Thomas A. Garrity

Fill in any gaps in your knowledge with this overview of key topics in undergraduate mathematics, now with four new chapters.

July 2021 254 x 178 mm 416pp PB, EB, CO 978-1-00-900919-5 Paperback £23.99 / US$31.99 G

Discrete Mathematics, Logic and Sets

Modern Mathematical Logic

Mathematical Logic through Python

An Invitation to Combinatorics

Combinatorial Mathematics

Joseph Mileti

Yannai A. Gonczarowski, Noam Nisan

Shahriar Shahriari

Douglas B. West

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

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

Cambridge Mathematical Textbooks July 2021 246 x 189 mm 628pp HB, EB, HE 978-1-108-47654-6 Hardback £38.99 / US$49.99 X

July 2020 246 x 189 mm 988pp 2200 exercises HB, HE 978-1-107-05858-3 Hardback £65.99 / US$83.99 X

This textbook gives a comprehensive and modern introduction to mathematical logic at the upperundergraduate and beginning graduate level.

Cambridge Mathematical Textbooks September 2022 254 x 178 mm 550pp HB, EB, CO 978-1-108-83314-1 Hardback £49.99 / US$64.99 X

A unique approach to mathematical logic where students implement the underlying concepts and proofs in the Python programming language.

September 2022 253 x 177 mm 284pp PB, HB, EB, CO 978-1-108-94947-7 Paperback £22.99 / US$29.99 P

Discrete Mathematics, Logic and Sets

Graph Theory and Additive Combinatorics

An Invitation to Model Theory Jonathan Kirby

A First Course Daniel W. Cunningham

Exploring Structure and Randomness Yufei Zhao

An innovative and largely selfcontained textbook bringing model theory to an undergraduate audience.

Set theory can be considered a unifying theory for mathematics. This book covers the fundamentals of the subject.

April 2019 228 x 152 mm 194pp 5 b/w illus.

PB, HB, EB, HE 978-1-316-61555-3 Paperback £24.99 / US$32.99 X

Cambridge Mathematical Textbooks July 2016 228 x 152 mm 262pp 13 b/w illus.

HB, EB, HE 978-1-107-12032-7 Hardback £47.99 / US$68.99 X

An introductory text covering classical and modern developments in graph theory and additive combinatorics, based on Zhao’s MIT course.

August 2023 254 x 177 mm 338pp HB, EB, CO 978-1-00-931094-9 Hardback £54.99 / US$69.99 P

Set Theory

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

An approachable textbook connecting the mathematical foundations of computer science to broad-ranging and compelling applications throughout the field.

August 2022 253 x 203 mm 690pp HB, EB, HE 978-1-00-915049-1 Hardback £57.99 / US$74.99 X

cambridge.org/mathtextbooksonline

7

Linear Algebra

Discrete Mathematics, Logic and Sets

The Discrete Mathematical Charms of Paul Erdős A Simple Introduction Vasek Chvátal

A captivating introduction to key results of discrete mathematics through the work of Paul Erdős, blended with first-hand reminiscences.

August 2021 244 x 170 mm 266pp PB, HB, CO 978-1-108-92740-6 Paperback £24.99 / US$32.99 P

Matrix Mathematics A Second Course in Linear Algebra Second edition Stephan Ramon Garcia, Roger A. Horn

A modern matrix-based approach to a rigorous second course in linear algebra for mathematics, data science, and physical science majors.

Cambridge Mathematical Textbooks May 2023 254 x 178 mm 500pp HB, EB, HE 978-1-108-83710-1 Paperback £54.99 / US$69.99 X

Linear Algebra for Data Science, Machine Learning, and Signal Processing Jeffrey A. Fessler, Raj Rao Nadakuditi

Master matrix methods via engaging data-driven applications, aided by classroom-tested quizzes, homework exercises and online Julia demos.

May 2024 244 x 170 mm 450pp HB, EB, HE 978-1-00-941814-0 Hardback £49.99 / US$64.99 X

Introduction to Linear Algebra Sixth edition Gilbert Strang

The sixth edition of Strang’s phenomenally popular textbook features a more active start and new chapters on optimization and learning from data.

NOT FOR SALE IN NORTH AMERICA January 2023 234 x 191 mm 440pp HB, HE 978-1-73314-667-8 Hardback £74.99 X

Linear Algebra

Linear Algebra

Matrix Analysis

Gilbert Strang

Elizabeth S. Meckes, Mark W. Meckes

Second edition Roger A. Horn, Charles R. Johnson

From Gilbert Strang, a new approach to linear algebra that is suitable for everyone, going from basics to the singular value decomposition.

Rigorous yet engaging, Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course.

This acclaimed textbook gives comprehensive coverage of core advanced linear algebra topics, using canonical forms as a unifying theme.

NOT FOR SALE IN NORTH AMERICA

Cambridge Mathematical Textbooks July 2018 253 x 177 mm 442pp HB, EB, HE 978-1-107-17790-1 Hardback £56.99 / US$72.99 X

December 2012 253 x 177 mm 662pp 1175 exercises.

PB, HB, EB, HE 978-0-521-54823-6 Paperback £54.99 / US$71.99 X

Linear Algebra for Everyone

November 2020 234 x 191 mm 368pp HB, HE 978-1-73314-663-0 Hardback £52.99 P

8

cambridge.org/mathtextbooksonline

Introduction to Applied Linear Algebra Vectors, Matrices, and Least Squares Stephen Boyd, Lieven Vandenberghe

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

June 2018 246 x 189 mm 474pp HB, EB, HE 978-1-316-51896-0 Hardback £40.99 / US$51.99 X

Abstract Algebra

Actions of Groups A Second Course in Algebra John McCleary

An undergraduate text with an active learning approach introducing representation theory and Galois theory topics using group actions.

January 2023 229 x 152 mm 226pp PB, HB, EB, HE 978-1-00-915811-4 Paperback £29.99 / US$39.99 X

Algebraic Number Theory for Beginners Following a Path From Euclid to Noether John Stillwell

A concise and well-motivated introduction to algebraic number theory, following the evolution of unique prime factorization through history.

August 2022 229 x 152 mm 250pp PB, HB, EB, CO 978-1-00-900192-2 Paperback £29.99 / US$39.99 P

Abstract Algebra

Algebra

A Comprehensive Introduction John W. Lawrence, Frank A. Zorzitto

Notes from the Underground Paolo Aluffi

A lucid guide to abstract algebra, this comprehensive textbook provides in depth coverage for upper undergraduate students.

A conversational introduction to abstract algebra from a modern, rings-first perspective, including a treatment of modules.

Cambridge Mathematical Textbooks April 2021 246 x 189 mm 638pp HB, EB, HE 978-1-108-83665-4 Hardback £70.99 / US$93.99 X

Cambridge Mathematical Textbooks June 2021 244 x 170 mm 488pp PB, EB, HE 978-1-108-95823-3 Paperback £30.99 / US$41.99 X

Abstract Algebra

Analysis

Galois Theory and Its Algebraic Background

Abstract Algebra with Applications

An Introduction to Functional Analysis

Complex Analysis

Audrey Terras

James C. Robinson

Second edition D. J. H. Garling

This text offers a friendly and concise introduction to abstract algebra, emphasizing its uses in the modern world.

Accessible text covering core functional analysis topics in Hilbert and Banach spaces, with detailed proofs and 200 fully-worked exercises.

This user-friendly textbook follows Weierstrass’ approach to offer a selfcontained introduction to complex analysis.

This textbook contains a full account of Galois Theory and the algebra that it needs, with exercises, examples and applications.

July 2021 228 x 152 mm 204pp PB, HB, EB, HE 978-1-108-96908-6 Paperback £34.99 / US$46.99 X

Cambridge Mathematical Textbooks December 2018 253 x 177 mm 328pp 104 b/w illus. 100 colour illus.

HB, EB, HE 978-1-107-16407-9 Hardback £50.99 / US$69.99 X

March 2020 228 x 152 mm 416pp 17 b/w illus. 215 exercises PB, HB, EB, HE 978-0-521-72839-3 Paperback £34.99 / US$46.99 X

Donald E. Marshall

Cambridge Mathematical Textbooks April 2019 253 x 177 mm 286pp 68 colour illus.

HB, EB, HE 978-1-107-13482-9 Hardback £43.99 / US$78.99 X

cambridge.org/mathtextbooksonline

9

Analysis

Complex Analysis Second edition Ian Stewart and David Tall

A new edition of a classic textbook on complex analysis with an emphasis on translating visual intuition to rigorous proof.

August 2018 247 x 174 mm 402pp 195 b/w illus. 2 tables PB, EB, HE 978-1-108-43679-3 Paperback £34.99 / US$48.99 X

A First Course in Analysis John B. Conway

This concise text clearly presents the material needed for year-long analysis courses for advanced undergraduates or beginning graduates.

Cambridge Mathematical Textbooks September 2017 228 x 152 mm 375pp HB, EB, HE 978-1-107-17314-9 Hardback £36.99 / US$47.99 X

Geometry and Topology

A First Course in Differential Geometry

A Short Course in Differential Topology

Surfaces in Euclidean Space Lyndon Woodward, John Bolton

Concise and modern introduction to differential topology with a hands-on approach and plentiful examples and exercises.

With detailed explanations and numerous examples, this textbook covers the differential geometry of surfaces in Euclidean space.

November 2018 247 x 174 mm 272pp 135 b/w illus.

PB, HB, EB, HE 978-1-108-44102-5 Paperback £34.99 / US$46.99 X

10

Bjørn Ian Dundas

Cambridge Mathematical Textbooks June 2018 253 x 177 mm 262pp 95 b/w illus. 230 exercises HB, EB, CO 978-1-108-42579-7 Hardback £44.99 / US$60.99 X

cambridge.org/mathtextbooksonline

Geometry and Topology

Chaotic Dynamics Fractals, Tilings, and Substitutions Geoffrey R. Goodson

This rigorous undergraduate introduction to dynamical systems is an accessible guide for mathematics students advancing from calculus.

Cambridge Mathematical Textbooks March 2017 253 x 177 mm 416pp 93 b/w illus. 435 exercises HB, EB, CO 978-1-107-11267-4 Hardback £56.99 / US$78.99 X

Singularities, Bifurcations and Catastrophes James Montaldi

This textbook gives a contemporary account of singularity theory and its principal application, bifurcation theory.

June 2021 247 x 174 mm 448pp PB, HB, EB, HE 978-1-316-60621-6 Paperback £44.99 / US$62.99 X

Computational Mathematics

The Student’s Introduction to Mathematica and the Wolfram Language

Introduction to Experimental Mathematics

Third edition Bruce F. Torrence, Eve A. Torrence

This text introduces students to an experimental approach to mathematics, using Maple to systematically investigate and develop mathematical theory.

An introduction to Mathematica® and the Wolfram Language™ in the familiar context of the standard university mathematics curriculum.

May 2019 246 x 189 mm 544pp 480 b/w illus. 250 exercises PB, EB, CO 978-1-108-40636-9 Paperback £46.99 / US$62.99 P

Søren Eilers, Rune Johansen

Cambridge Mathematical Textbooks June 2017 253 x 177 mm 316pp HB, EB 978-1-107-15613-5 Hardback £43.99 / US$62.99 X

NN IOO ITITI EEDD EE NIN LIL N ON O

G.M. HOMSY et al

Multimedia Fluid Mechanics 







Extensive media library of over 800 components spanning the 8 modules Original DVD content fully optimised for all devices and screen sizes View animations and interact with virtual labs MathJax enabled for good reproduction of mathematical/ technical symbols

Multimedia Fluid Mechanics has been developed with the support of the National Science Foundation.

Find out more why Multimedia Fluid Mechanics online is the ideal supplement to your fluid mechanics course at cambridge.org/MFMO

cambridge.org/mathtextbooksonline

11

Applied Mathematics

Fundamentals of Dispersed Multiphase Flows S. Balachandar

Dispersed multiphase flows are everywhere, from a sneeze to a volcanic eruption. Discover the fundamental physics that connects them all.

March 2024 254 x 178 mm 679pp HB, EB, HE 978-1-00-916046-9 Hardback £64.99 / US$84.99 X

Classical Numerical Analysis A Comprehensive Course Abner J. Salgado, Steven M. Wise

A thorough introduction to graduate classical numerical analysis, with all important topics covered rigorously.

October 2022 254 x 177 mm 937pp HB, EB, CO 978-1-108-83770-5 Hardback £89.99 / US$115.00 X

Introduction to Complex Variables and Applications

Introductory Incompressible Fluid Mechanics

Mark J. Ablowitz and Athanassios S. Fokas

Frank H. Berkshire, Simon J. A. Malham, J. Trevor Stuart

An introduction to complex variables that caters for undergraduate students in applied mathematics, science, and engineering.

Cambridge Texts in Applied Mathematics, 63 March 2021 244 x 170 mm 420pp PB, HB, EB, HE 978-1-108-95972-8 Paperback £43.99 / US$57.99 P

This textbook gives a comprehensive, accessible introduction to the mathematics of incompressible fluid mechanics and its many applications.

December 2021 244 x 170 mm 334pp PB, HB, EB, HE 978-1-00-907470-4 Paperback £36.99 / US$49.99 P

Applied Mathematics

Numerical Linear Algebra

A First Course in Network Science

An Introduction Holger Wendland

Filippo Menczer, Santo Fortunato, Clayton A. Davis

This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject.

A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.

Cambridge Texts in Applied Mathematics, 56 November 2017 228 x 152 mm 418pp 21 b/w illus. 55 exercises PB, HB, EB, CO 978-1-316-60117-4 Paperback £37.99 / US$49.99 G

12

February 2020 246 x 189 mm 300pp 131 b/w illus. 131 colour illus.

HB, EB, HE 978-1-108-47113-8 Hardback £38.99 / US$51.99 X

cambridge.org/mathtextbooksonline

Mathematics for Economics and Finance Methods and Modelling Second edition Martin Anthony, Norman Biggs

New edition of the popular introduction to mathematical methods in economics and finance.

May 2024 244 x 170 mm 436pp PB, EB, HE 978-1-108-47239-5 Paperback £44.99 / US$59.99

Game Theory Basics Bernhard von Stengel

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

August 2021 246 x 189 mm 374pp PB, HB, EB, HE 978-1-108-82423-1 Paperback £36.99 / US$46.99 X

Applied Mathematics

Game Theory Second edition Michael Maschler, Eilon Solan, Shmuel Zamir

This new edition is unparalleled in breadth of coverage, thoroughness of technical explanations and number of worked examples.

June 2020 246 x 189 mm 1050pp 292 b/w illus.

PB, HB, EB, HE 978-1-108-82514-6 Paperback £54.99 / US$71.99 X

Mathematics for Computer and Data Science

Data-Driven Science and Engineering

Mathematics for Machine Learning

Optimization for Data Analysis

Machine Learning, Dynamical Systems, and Control Second edition Steven L. Brunton and J. Nathan Kutz

Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong

Stephen J. Wright, Benjamin Recht

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

May 2022 253 x 177 mm 614pp HB, EB, HE 978-1-00-909848-9 Hardback £49.99 / US$64.99 P

Gilbert Strang

Introduction to Probability for Computing Mor Harchol-Balter

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

A highly engaging and interactive undergraduate textbook specifically written for computer science courses.

NOT FOR SALE IN NORTH AMERICA

September 2023 244 x 170 mm 555pp HB, EB, HE 978-1-00-930907-3 Hardback £54.99 / US$69.99 X

January 2019 234 x 191 mm 446pp HB 978-0-692-19638-0 Hardback £62.99 X

April 2020 253 x 177 mm 398pp 3 b/w illus. 106 colour illus.

PB, HB, EB, HE 978-1-108-45514-5 Paperback £39.99 / US$51.99 P

April 2022 229 x 152 mm 238pp HB, EB, CO 978-1-316-51898-4 Hardback £37.99 / US$49.99 P

Probability

Mathematics for Computer and Data Science

Linear Algebra and Learning from Data

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

A Second Course in Probability

Introduction to Probability

Second edition Sheldon M. Ross, Erol A. Peköz

David F. Anderson, Timo Seppäläinen, Benedek Valkó

The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum.

An introductory probability textbook with the right balance between mathematical precision, probabilistic intuition, and concrete applications.

September 2023 229 x 152 mm 196pp PB, EB, CO 978-1-00-917991-1 Paperback £39.99 / US$49.99 P

Cambridge Mathematical Textbooks December 2017 253 x 177 mm 442pp 45 b/w illus. 48 colour illus. 600 exercises HB, EB, HE 978-1-108-41585-9 Hardback £56.99 / US$72.99 X

cambridge.org/mathtextbooksonline

13

Probability

Statistics and Data Science

Probability

Fat Chance

Active Statistics

Theory and Examples Fifth edition Rick Durrett

Probability from 0 to 1 Benedict Gross, Joe Harris, Emily Riehl

A well-written and lively introduction to measure theoretic probability for graduate students and researchers.

Designed for the intellectually curious, this book provides a solid foundation in basic probability in an informal style, without jargon.

Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference Andrew Gelman and Aki Vehtari

Cambridge Series in Statistical and Probabilistic Mathematics, 49 April 2019 253 x 177 mm 430pp 20 b/w illus.

HB, EB, CO 978-1-108-47368-2 Hardback £66.99 / US$88.99 X

June 2019 253 x 177 mm 210pp PB, HB, EB, CO 978-1-108-72818-8 Paperback £22.99 / US$29.99 G

52 real-world stories, with hands-on activities, problems, and computer demonstrations in R for learning or teaching regression.

March 2024 254 x 178 mm c. 368pp PB, EB, HE 978-1-00-943621-2 Paperback £19.99 / US$24.99 X

Regression and Other Stories Andrew Gelman, Jennifer Hill, Aki Vehtari

A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

Analytical Methods for Social Research July 2020 246 x 189 mm 548pp 183 b/w illus. 215 exercises PB, HB, EB, HE 978-1-107-67651-0 Paperback £38.99 / US$49.99 P

Statistics and Data Science

Computer Age Statistical Inference, Student Edition

A First Course in Statistical Programming with R

Algorithms, Evidence, and Data Science Bradley Efron, Trevor Hastie

Third edition W. John Braun, Duncan J. Murdoch

Now in paperback and fortified with exercises, this brilliant, enjoyable text demystifies data science, statistics and machine learning.

Institute of Mathematical Statistics Monographs, 6 June 2021 228 x 152 mm 506pp PB, EB, HE 978-1-108-82341-8 Paperback £30.99 / US$41.99 P

14

Get started computing with data.

Learn general principles while learning R – now including the tidyverse.

May 2021 246 x 189 mm 280pp PB, EB, HE 978-1-108-99514-6 Paperback £36.99 / US$46.99 P

cambridge.org/mathtextbooksonline

Statistics Using R

Statistics Using Stata

An Integrative Approach Second edition Sharon Lawner Weinberg, Daphna Harel, Sarah Knapp Abramowitz

An Integrative Approach Third edition Sharon Lawner Weinberg, Sarah Knapp Abramowitz, Daphna Harel

Accessible and engaging introduction to applied statistics using real data integrated with the learning of R.

Accessible and engaging integration of the learning of Stata (version 17) with an introduction to applied statistics using real data.

November 2023 254 x 203 mm 725pp PB, EB, HE 978-1-00-940012-1 Paperback £64.99 / US$84.99 X

December 2023 254 x 203 mm 740pp PB, EB, HE 978-1-00-939100-9 Paperback £64.99 / US$84.99 X

Statistics and Data Science

Data Analysis for Business, Economics, and Policy

Modern Statistics for Modern Biology

Regression for Health and Social Science

Statistics for the Social Sciences

Susan Holmes, Wolfgang Huber

Gábor Békés, Gábor Kézdi

A far-reaching course in practical advanced statistics for biologists using R/Bioconductor, data exploration, and simulation.

Applied Linear Models with R Daniel Zelterman

A General Linear Model Approach Second edition Russell T. Warne

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

May 2021 246 x 189 mm 738pp PB, HB, EB, HE 978-1-108-71620-8 Paperback £49.99 / US$67.99 X

February 2019 276 x 216 mm 402pp PB, EB 978-1-108-70529-5 Paperback £49.99 / US$69.99 X

Real-life examples and exercises emphasize interpretation of statistical linear models and computer output using a minimum of mathematics.

May 2022 244 x 170 mm 294pp HB, EB, HE 978-1-108-47818-2 Hardback £49.99 / US$64.99 X

This textbook uses the general linear model as an organizing system to help students understand similarities across statistical methods.

March 2021 253 x 203 mm 606pp PB, HB, EB, HE 978-1-108-81450-8 Paperback £62.99 / US$78.99 X

Statistics and Data Science

A Hands-On Introduction to Data Science Chirag Shah

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

April 2020 246 x 189 mm 424pp 5 b/w illus. 135 colour illus. 36 tables 154 exercises HB, EB, HE 978-1-108-47244-9 Hardback £43.99 / US$57.99 P

Time Series for Data Scientists Data Management, Description, Modeling and Forecasting Juana Sanchez

A user-friendly, introductory, learningby-doing bridge between classical and machine learning time series analysis with R. May 2023 244 x 170 mm 550pp HB, EB, HE 978-1-108-83777-4 Hardback £59.99 / US$74.99 P

Introduction to Probability and Statistics for Data Science with R Steven E. Rigdon, Ronald D. Fricker, Jr., Douglas C. Montgomery

For students in statistics, data science, engineering, and science programs needing a solid course in statistical theory and methods.

Network Models for Data Science Theory, Algorithms, and Applications Alan Julian Izenman

This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.

January 2023 254 x 177 mm 550pp HB, EB, HE 978-1-108-83576-3 Hardback £56.99 / US$74.99 X

November2024 253 x 203 mm c.828pp HB, EB, HE 978-1-107-11304-6 Hardback £67.99 / US$89.99 X

cambridge.org/mathtextbooksonline

15

Statistics and Data Science

Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.

January 2020 253 x 177 mm 432pp HB, EB, CO 978-1-108-48506-7 Hardback £44.99 / US$57.99 X

Mathematical Pictures at a Data Science Exhibition Simon Foucart

A diverse selection of data science topics explored through a mathematical lens.

April 2022 228 x 152 mm 350pp PB, HB, EB, CO 978-1-00-900185-4 Paperback £36.99 / US$46.99 P

Mathematical Finance and Actuarial Science

Stochastic Finance An Introduction with Examples Amanda Turner, Dirk Zeindler

A relaxed and user-friendly approach to understanding financial mathematics and the pricing of options with extensive examples and exercises.

February 2023 246 x 189 mm 260pp PB, HB, EB, HE 978-1-00-904894-1 Paperback £37.99 / US$49.99 X

Mathematical Finance and Actuarial Science

Quantitative Enterprise Risk Management

Actuarial Mathematics for Life Contingent Risks

Mary R. Hardy, David Saunders

Third edition David C. M. Dickson, Mary R. Hardy, Howard R. Waters

This relevant, readable text integrates quantitative and qualitative approaches, connecting key mathematical tools to real-world challenges.

International Series on Actuarial Science May 2022 229 x 152 mm 698pp HB, EB, HE 978-1-00-909846-5 Hardback £59.99 / US$79.99 P

16

This very readable book prepares students for professional exams and for real-world actuarial work in life insurance and pensions.

International Series on Actuarial Science December 2019 228 x 152 mm 782pp 11 b/w illus. 4 tables 300 exercises HB, EB, HE 978-1-108-47808-3 Hardback £79.99 / US$105.00 X

cambridge.org/mathtextbooksonline

Solutions Manual for Actuarial Mathematics for Life Contingent Risks Third edition David C. M. Dickson, Mary R. Hardy, Howard R. Waters

Must-have manual providing detailed solutions to all exercises in the required text for the Society of Actuaries’ (SOA) LTAM Exam.

International Series on Actuarial Science April 2020 228 x 152 mm 302pp 11 b/w illus. 35 tables PB, HE 978-1-108-74761-5 Paperback £39.99 / US$51.99 P

Nonlife Actuarial Models Theory, Methods and Evaluation Second edition Yiu-Kuen Tse

An updated edition of the invaluable textbook on the concepts and practical application of nonlife actuarial models.

International Series on Actuarial Science May 2023 229 x 152 mm 560pp HB, EB, HE 978-1-00-931507-4 Hardback £69.99 / US$89.99 X

Publish with us

Higher Education textbooks and resources

Extend the reach of your work and partner with a publisher that understands and supports your publishing and teaching needs.

How we can support you

Our expert publishing teams provide best-in-class author services at every stage, from the peer review and development process to innovation in publishing models and design. With extensive global marketing and a dedicated and professional global sales network, we will support you throughout your publishing journey.

About our Higher Education publishing and courseware program

We partner with instructors and institutions around the world to deliver educational resources at the highest international levels of excellence.

Supporting the very best student learning outcomes through affordable access to learning materials sits at the heart of our mission as a not-for-profit higher education publisher.

Textbooks We publish textbooks in both physical and digital formats, including many works by world-renowned authors.

Contact us

To discuss a textbook proposal, or to discuss a publishing concept, please visit cambridge.org/contactHE to contact our team.

cambridge.org/mathtextbooksonline

17

Textbook purchase options

Individuals Visit cambridge.org/highereducation and search for a book to view eTextbook and print format purchase options.

Institutions eTextbook Subscriptions via cambridge.org/highereducation Individual eTextbooks and eTextbook Collections are available for access by institutional and university libraries on a subscription basis via the Higher Education website.

Scan this QR code to view full lists of titles within our Textbook eCollections

Digital Textbook Partners Cambridge textbooks are available through our digital textbook partners, including VitalSource, Perusall, Kortext and RedShelf.

Digital Access Programs (Americas only) Cambridge University Press is proud to participate in equitable and inclusive access digital programs supported by institutions and campus bookstores in the Americas.

Our textbooks are also available to purchase at a range of bookstores and online retailers.

18

cambridge.org/mathtextbooksonline

Please contact your campus bookstore to discuss inclusive access and discount programs available at your institution.

Please contact our sales team for further information cambridge.org/contactmyrep

Higher Education eTextbook Collections

Provide your students with easy access to high-quality textbooks.

Cambridge University Press eTextbook Collections enable institutional access to a large range of digital textbooks.

ructors:

of the end-of-chapter exercises

s in JPG and PPT format

9781108837101: Garcia and Horn: PPC: C M Y K

Resources ambridge.org/fuchs

nteraction. This textbook, derived from courses taught by the author

ears, is a comprehensive, straightforward introduction to the mathe-

mes. It teaches what every game theorist should know: the important

, game trees, utility theory, imperfect information, and Nash equilib-

ts – in particular, existence of an equilibrium via fixed points – and an

nimax theorem for zero-sum games are presented in a self-contained,

emented by chapters on combinatorial games such as Go, and – as

ame theory – traffic games and the geometry of two-player games.

quires minimal mathematical background and includes many examples,

table for self-study or introductory courses in mathematics, computer

ments.

nessa Wells

9781316511251 TURNER & ZEINDLER – STOCHASTIC FINANCE PPC C M Y K

University, Nobel Memorial Prize in Economic Sciences 2020

• New sections covering interpolation, orthogonal polynomials, Gaussian quadrature, LU factorization, unitary equivalence and bidiagonal matrices, induced matrix norms, iterative algorithms such as the power method and point Jacobi method, and Perron–Frobenius theory.

• Concise chapters that promote a focused progression through essential ideas.

• The only prerequisites are basic calculus sequence and a first course in linear algebra.

brunton-kutz Instructor resources: Figures in JPG and PPT formats

Machine Learning, dynamical Systems, and control Second edition

2nd edition

Image credit: oxygen, via Getty Images.

Cover design by Zoe Naylor.

STEPHAN RAMON GARCIA AND ROGER A. HORN

‘The text does a great job of providing a compre-

Stochastic Finance provides an introduction to

hensive picture of basic mathematical finance

mathematical finance that is unparalleled in its

concepts in both discrete and continuous settings.

accessibilit y. Through classroom testing, the

The authors provide a balanced amount of details

authors have identified common pain points for

in both the financial (arbitrage, replicating strate-

students, and their approach takes great care to

gies, etc.) and mathematical aspects (probability,

help the reader to overcome these difficulties and

stochastic calculus, etc.) I really appreciate the fact

to foster understanding where comparable texts

that the technical details are presented in a way

often do not.

Game Theory Basics

that is accessible to an advanced undergraduate

Written for advanced undergraduate students,

student.’

and making use of numerous detailed examples

PROFESSOR TRIET PHAM

to illustrate key concepts, this text provides all the

Department of Mathematics, The School of Arts

mathematical foundations necessar y to model

and Sciences, Rutgers, The State University of

transactions in the world of finance. A first course

New Jersey

in probability is the only necessary background.

Bernhard von Stengel

The book begins with the discrete binomial

‘This is a rigorous textbook on stochastic finance

model and the finite market model, followed by

in which the reader will enjoy the path the authors

the continuous Black–Scholes model.

take while introducing conditional expectations

It studies the pricing of European options by

with respect to sigma-algebras, and the sequence

combining financial concepts such as arbitrage

of models from the binomial to Black–Scholes. In

and self-financing trading strategies with proba-

all, a careful construction of the theory with proofs

bilistic tools such as sigma algebras, martingales

that are both thorough and readable.’

and stochastic integration.

All these concepts are introduced in a relaxed

DR LUDOLF E. MEESTER

and user-friendly fashion.

Delft University of Technology

STOCHASTIC FINANCE

with clarity and precision the basic concepts and mathematical tools

well-motivated examples, exercises, and practical applications.”

• New chapters on matrix norms and positive matrices.

Turner | Zeindler

sity

von Stengel Game Theory Basics

Dauphine University

ebrew University of Jerusalem

• Over 900 exercises, 350 worked conceptual and numerical examples, and many color-enhanced illustrations to aid the reader’s understanding.

PowerPoint slides and JPEGS of all the figures from the book

nomics and political science that teachers could be tempted to put

mportant material, in particular for students of mathematics and

Shay Fuchs

Written with crystal clear exposition, this rigorous undergraduate textbook helps students studying mathematics, data science, and the physical sciences transition from basic linear algebra to advanced topics and applications. Topics are derived and discussed in detail, including the singular value decomposition, Jordan canonical form, spectral theorem, QR factorization, normal matrices, Hermitian matrices, and positive definite matrices. Key features of this new edition:

Steven L. Brunton • J. nathan Kutz

Data-Driven Science anD engineering

Solutions Manual

hematical by nature. The text comes at the right time: game theory

a central main theorem. The author’s long teaching experience and

This is the second edition to A Second Course in Linear Algebra. The new title reflects an approach to advanced linear algebra that emphasizes matrix factorizations and algorithms.

A SECOND COURSE IN LINEAR ALGEBRA

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and SECOND EDITION engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material – including lecture videos per section, homework, data, and codes in MATLAB®, Python, and R – is available on databookuw.com.

Cover image: Meinzahn / iStock / Getty Images Plus

e, the basic non-cooperative game models are studied gradually and

parent on every page.”

“An extremely versatile Linear Algebra textbook. Each easy-to-read chapter contains the exact amount of information and a plethora of interesting exercises.”

Maria Isabel Bueno Cachadina, University of California, Santa Barbara

MATRIX MATHEMATICS

Cover design: Andrew Ward

k will enable students to become intimately familiar with game-the-

, and economic theorists. Each chapter has a clear learning structure,

“Any student with the opportunity to take a second course on linear algebra would be lucky to have this book.”

Craig Larson, Virginia Commonwealth University

Online Resources www.cambridge.org/garcia-horn

while providing the algorithms that can be used to solve interactive

xtbook on non-cooperative game theory. It is very useful for mathe-

“This textbook thoroughly covers all the material you’d expect in a Linear Algebra course plus modern methods and applications.

It’s great for a multi-part course and a reference book that all mathematicians should have.”

Deanna Needell, University of California, Los Angeles

Data-Driven Science anD engineering

Ryan Grady, Montana State University

nts can apply the rned to more advanced r supplemental chapters mbinatorics, limits mplex numbers, and

Introduction to Proofs and Proof Strategies

MATRIX MATHEMATICS SECOND EDITION

Eric Gottlieb, Rhodes College “Except for the excellent “Additional Topics” sections, the content is standard, but the spiraling presentation and helpful narrative around proofs are what truly elevate this text.

Fuchs’ attempt to connect the structure and rigor of mathematics with the intuition of the reader will resonate with students.”

“Finally, a book that introduces data science “Brunton and Kutz’s book is fast becoming in a context that will make any mechanical an indispensable resource for machine MATHEMATICAL engineer feel comfortable.” learning and data-driven learning in science TEXTBOOKS Hod Lipson, Columbia University and engineering.”

Tim Colonius, California Institute of “This book is a must-have for anyone Technology interested in data-driven modeling and simulations.”

“This is a must-read for those who are Daniel M. Tartakovsky, Stanford University interested in understanding what machine learning can do for dynamical systems!”

“Brunton and Kutz will prepare engineers Shirley Ho, Flatiron Institute and New York to integrate models based on physics and University large datasets, which will lead to new insights and designs.”

Greg Hyslop, Boeing

CAMBRIDGE

“A broad coverage of more advanced topics, rich set of exercises, and thorough index make this stylish book an excellent choice for a second course in linear algebra.”

Nick Higham, University of Manchester

GARCIA AND HORN

g familiar and s from a theoretical ng on to topics ties, induction, relations, ementary number theory.

Paolo Aluffi, Florida State University “This well-written text strikes a good balance between conciseness and clarity. Students are led from looking more deeply into familiar topics, such as the quadratic formula, to an understanding of the nature, structure, and methods of proof.”

Introduction to Proofs and Proof Strategies

problems ranging from full proofs, 200 worked which are non-technical, ns.

Fuchs

mathematics” through ons and practice.

me to adapt to the g proofs and thinking fore being exposed to ematical formalism.

“The level is right, the math is rock solid, the writing is very pleasant and directly engages the reader without ever sounding patronizing. A vast selection of problems will be splendidly helpful both in a classroom setting and for self-study.”

Brunton & Kutz

CAMBRIDGE MATHEMATICAL TEXTBOOKS

eative nature of onversational text ough the process of as they transition from nced mathematics. he possible strategies oblem and develop eeded to tackle there is no clear to follow.

Amanda Turner | Dirk Zeindler

STOCHASTIC FINANCE An introduction with examples

Full eTextbook Collection title lists Scan QR code or visit cambridge.org/collectionlists

turner-zeindler Instructor resource PowerPoint slides and JPEGs of all the figures and tables from the book

Cover illustration: Andriy Onufriyenko / Moment / Getty Images.

Cover designed by Rob Lock

Cambridge Higher Education eTextbook Collections are available for access by institutional and university libraries on a subscription basis.

Please contact your Sales Representative for further information: cambridge.org/contactmyrep cambridge.org/highereducation

Access Cambridge eTextbooks using the Cambridge Spiral eReader

Features for students

Features for instructors

• Easy access to online textbooks.

• Simple integration with your Learning Management System, including Blackboard, Moodle, Brightspace D2L and Canvas.

• Make bookmarks, highlights, annotations, and links as you study, then use the Annotations tab to manage and review.

• Copy and print up to 20% of any eTextbook.

• Listen on the go! Our text-to-speech tool transforms many eTextbook Collection titles into audio format.

• Read textbooks online and offline on desktop, mobile and tablet devices via the Cambridge Spiral App.

• Deep links enable you to list textbooks or individual chapters in your syllabi with ease.

• ‘Group mode’: instructor annotations can be added to an eTextbook and shared with a student group via the custom group mode.

• When you access via an institutional subscription, unlimited students can read at once.

View full eTextbook Collection lists within your subject area at cambridge.org/collectionlists

Please contact your Sales Representative for further information: cambridge.org/contactmyrep

cambridge.org/highereducation

20

cambridge.org/mathtextbooksonline

Cambridge Alerts Be the first to hear about the academic products in your area of interest.

Sign up today at cambridge.org/HEalerts Join us online Follow us on X @cambUP_maths Search for us on Facebook at @CambridgeUniversityPressMaths

Terms and conditions apply, full details at cambridge.org/academic/alerts-terms-and-conditions cambridge.org/mathtextbooksonline

21