Higher Education
Mathematics & Statistics 2024 Catalogue
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Contents Introductory Mathematics
4
Applied Mathematics
10
Transition to Higher Mathematics
4
Mathematics for Computer and Data Science
11
Probability
11
Statistics and Data Science
12
Mathematical Finance and Actuarial Science
14
Discrete Mathematics, Logic and Sets Linear Algebra
5 6
Abstract Algebra
7
Analysis
7
Geometry and Topology
8
Computational Mathematics
8
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.
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Introductory Mathematics
Transition to Higher Mathematics
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. October 2022 228 x 152 mm 438pp PB, HB, EB, CO 978-1-108-47722-2 Hardback Paperback coming soon £20.00 / US$25.99 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 £33.99 / US$47.99 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 £24.99 / US$33.99 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 £33.99 / US$39.99 X
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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$50.99 X
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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 £31.99 / US$41.99 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 £22.99 / US$29.99 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 £36.99 / US$47.99 X
July 2020 246 x 189 mm 988pp 2200 exercises HB, HE 978-1-107-05858-3 Hardback £62.99 / US$79.99 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 £23.99 / US$30.99 X
Cambridge Mathematical Textbooks July 2016 228 x 152 mm 262pp 13 b/w illus. HB, EB, HE 978-1-107-12032-7 Hardback £45.99 / US$67.99 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
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Linear Algebra
Discrete Mathematics, Logic and Sets
NEW
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 £22.99 / US$29.99 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. c. May 2024 244 x 170 mm c. 445pp 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 £53.99 / US$69.99 X
December 2012 253 x 177 mm 662pp 1175 exercises. PB, HB, EB, HE 978-0-521-54823-6 Paperback £51.99 / US$69.99 X
Linear Algebra for Everyone
November 2020 234 x 191 mm 368pp HB, HE 978-1-73314-663-0 Hardback £52.99 P
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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 £38.99 / US$49.99 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 £67.99 / US$89.99 X
Cambridge Mathematical Textbooks June 2021 244 x 170 mm 488pp PB, EB, HE 978-1-108-95823-3 Paperback £29.99 / US$39.99 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$44.99 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 £48.99 / US$66.99 X
March 2020 228 x 152 mm 416pp 17 b/w illus. 215 exercises PB, HB, EB, HE 978-0-521-72839-3 Paperback £32.99 / US$44.99 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 £41.99 / US$74.99 X
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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 £32.99 / US$46.99 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 £34.99 / US$45.99 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 £32.99 / US$44.99 X
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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
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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 £53.99 / US$74.99 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$59.99 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 £44.99 / US$54.99 P
Søren Eilers, Rune Johansen
Cambridge Mathematical Textbooks June 2017 253 x 177 mm 316pp HB, EB 978-1-107-15613-5 Hardback £41.99 / US$59.99 X
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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
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Applied Mathematics
NEW 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 c.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 c.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 £41.99 / US$54.99 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 £34.99 / US$47.99 P
Applied Mathematics
NEW 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$48.99 G
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February 2020 246 x 189 mm 300pp 131 b/w illus. 131 colour illus. HB, EB, HE 978-1-108-47113-8 Hardback £36.99 / US$49.99 X
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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. c. August 2024 244 x 170 mm c. 460pp PB, EB, HE 978-1-108-47239-5 Paperback c.£39.99 / c.US$54.99
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 £34.99 / US$44.99 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 £51.99 / US$69.99 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 £37.99 / US$49.99 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 c.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 £53.99 / US$69.99 X
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Probability
Statistics and Data Science
NEW 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 £20.99 / US$27.99 G
52 real-world stories, with hands-on activities, problems, and computer demonstrations in R for learning or teaching regression. c. April 2024 254 x 178 mm c. 372pp 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 £36.99 / 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 £29.99 / US$39.99 P
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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 £34.99 / US$44.99 P
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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$64.99 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 £59.99 / US$74.99 X
Statistics and Data Science
NEW 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 c.424pp 5 b/w illus. 135 colour illus. 36 tables 154 exercises HB, EB, HE 978-1-108-47244-9 Hardback £41.99 / US$54.99 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 c.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 c.550pp HB, EB, HE 978-1-108-83576-3 Hardback £56.99 / US$74.99 X
c. August 2024 253 x 203 mm c.840pp HB, EB, HE 978-1-107-11304-6 Hardback c.£64.99 / c.US$89.99 X
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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 £42.99 / US$54.99 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 c.350pp PB, HB, EB, CO 978-1-00-900185-4 Paperback £29.99 / US$39.99 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
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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 £76.99 / US$99.99 X
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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 £37.99 / US$49.99 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
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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
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