Computer Science
2026
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Machine Learning
Inference and Learning from Data
Learning
Volume 3
Ali H. Sayed
Discover data-driven learning methods with the third volume of this extraordinary three-volume set.
December 2022 244 x 170 mm 990pp
HB, EB,CA
978-1-00-921828-3 Hardback
£78.00 / US$110.00 X
Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.
April 2020 253 x 177 mm 398pp
3 b/w illus. 106 colour illus. PB, HB, EB,CA
978-1-108-45514-5 Paperback
£39.99 / US$55.00 P
Essentials of Pattern Recognition
An
Accessible Approach
Jianxin Wu
An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.
November 2020 244 x 170 mm 398pp
HB, EB,CA
978-1-108-48346-9 Hardback
£57.00 / US$86.00 X
Machine Learning Refined
Foundations, Algorithms, and Applications
Second edition
Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos
An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
January 2020 247 x 174 mm 594pp 316 colour illus. 127 exercises HB, EB,CA 978-1-108-48072-7 Hardback
£60.00 / US$84.00 X
Machine Learning
High-Dimensional Data Analysis with Low-Dimensional Models
Principles, Computation, and Applications
John Wright and Yi Ma
Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.
January 2022 244 x 170 mm 716pp
HB, EB,CA
978-1-108-48973-7 Hardback
£66.00 / US$89.00 P
Machine Learning Fundamentals
A Concise Introduction
Hui Jiang
A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.
November 2021 253 x 203 mm 418pp
203 colour illus.
PB, HB, EB,CO
978-1-108-94002-3 Paperback
£45.00 / US$58.00 P
Bayesian Reasoning and Machine Learning
David Barber
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
February 2012 246 x 189 mm 735pp
287 b/w illus. 1 table 260 exercises HB, EB,CA
978-0-521-51814-7 Hardback
£70.00 / US$94.00 X
Bandit Algorithms
Tor Lattimore, Csaba Szepesvári
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
July 2020 247 x 174 mm 536pp
HB, EB,CO
978-1-108-48682-8 Hardback
£44.00 / US$56.00 P
Machine Learning
Understanding Machine Learning From Theory to Algorithms
Shai Shalev-Shwartz and Shai Ben-David
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
July 2014 253 x 177 mm 410pp
47 b/w illus. 123 exercises
HB, EB,CO
978-1-107-05713-5 Hardback
£53.00 / US$71.00 X
Machine Learning
The Art and Science of Algorithms that Make Sense of Data
Peter Flach
Covering all the main approaches in state-of-the-art machine learning research, this will set a new standard as an introductory textbook.
September 2012 246 x 189 mm 409pp 120 colour illus. 15 tables PB, HB, EB,CO 978-1-107-42222-3 Paperback £50.00 / US$67.00 P
Introduction to Robotics and Perception
Frank Dellaert and Seth Hutchinson
A modern treatment of computational robotics, integrating mathematical fundamentals, algorithm development, and software implementation.
c. October 2026 244 x 170 mm c.386pp HB, EB,CA 978-1-009-44849-9 Hardback c.£45.99 / c.US$59.99 X
Principles of Robot Autonomy
Daniele Gammelli, Joseph Lorenzetti, Katie Luo, Gioele Zardini and Marco Pavone
Explains the principles of autonomous robotics at the advanced undergraduate or beginning graduate level in computer science and engineering.
c. October 2026 253 x 208 mm c.400pp HB, EB,CA 978-1-009-34582-8 Hardback c.£49.95 / c.US$69.95 X
DAVID L. POOLE AND ALAN K. MACKWORTH
ARTIFICIAL INTELLIGENCE
Artificial Intelligence Foundations of Computational Agents
Third edition
David L. Poole and Alan K. Mackworth
A comprehensive learning resource for undergraduate and graduate students, with new chapters on deep learning, causality, and social impact.
July 2023 254 x 177 mm 898pp
HB, EB,CA
978-1-00-925819-7 Hardback
£57.99 / US$74.99 X
Adversarial Learning and Secure AI
David J. Miller, Zhen Xiang and George Kesidis
The first textbook on adversarial machine learning, including both attacks and defenses, background material, and hands-on student projects.
August 2023 244 x 170 mm 350pp HB, EB,CA
978-1-00-931567-8 Hardback
£54.99 / US$69.99 X
Computational Principles of Mobile Robotics
Third edition
Gregory Dudek and Michael Jenkin
A graduate textbook providing a comprehensive introduction to mobile robotics, with hands-on examples in ROS 2.
February 2024 254 x 178 mm 450pp
PB, HB, EB,CA
978-1-108-73638-1 Paperback
£49.99 / US$64.99 X
Modern Robotics Mechanics, Planning, and Control
Kevin M. Lynch and Frank C. Park
A modern and unified treatment of the mechanics, planning, and control of robots, suitable for a first course in robotics.
May 2017 253 x 177 mm 544pp
HB, EB
978-1-107-15630-2 Hardback
£64.99 / US$83.00 X
Computer Vision Models, Learning, and Inference
Simon J. D. Prince
A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms.
August 2012 253 x 177 mm 598pp
357 colour illus. 5 tables 201 exercises
HB, EB,CA
978-1-107-01179-3 Hardback
£73.00 / US$100.00 X
Virtual Reality
Steven M. LaValle
An interdisciplinary text for students, researchers, and developers that blends foundations of virtual reality with industry insights.
November 2023 253 x 177 mm 392pp
HB, EB,CO
978-1-107-19893-7 Hardback
£59.99 / US$79.99 P
Hey Cyba
The Inner Workings of a Virtual Personal Assistant
Steve Young
Reveals how AI works and provides insight into what we can expect of it now and in the future.
April 2021 228 x 152 mm 254pp
PB, HB, EB,CO
978-1-108-97236-9 Paperback
£19.99 / US$25.99 G
Natural Language Processing
A Machine Learning Perspective
Yue Zhang and Zhiyang Teng
This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
January 2021 246 x 189 mm 484pp
HB, EB,CA
978-1-108-42021-1 Hardback
£60.00 / US$84.00 P
Data Science
A Hands-On
Introduction to Data Science with Python
Second edition
Chirag Shah
A hands-on textbook for introductory data science courses that use Python.
November 2025 253 x 203 mm c.400pp
PB, HB,CA
978-1-00-958894-2 Paperback
£45.00 / US$59.99 X
A
Hands-On Introduction to Data Science with R
Second edition
Chirag Shah
A hands-on textbook for introductory data science courses that use R.
November 2025 254 x 203 mm c.400pp
PB, HB,CA
978-1-00-958905-5 Paperback
£45.00 / US$59.99 X
Mathematical Methods in Data Science
Bridging Theory and Applications with Python
Sébastien Roch
Explore the mathematics of data science with this advanced undergraduate and graduate text integrating theory with applications in Python.
Cambridge Mathematical Textbooks
October 2025 254 x 178 mm 582pp
PB, HB, EB,CA
978-1-00-950940-4 Paperback
£54.99 / US$69.99 X
Probability and Statistics for Data Science
Carlos Fernandez-Granda
A self-contained introduction to probability and statistics for data science with examples involving realworld datasets.
July 2025 254 x 178 mm 624pp
PB, HB, EB
978-1-00-918009-2 Paperback
£55.00 / US$70.00 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,CA
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 and Douglas C. Montgomery
For students in statistics, data science, engineering, and science programs needing a solid course in statistical theory and methods.
April 2025 254 x 203 mm 828pp
PB, HB, EB,CA
978-1-00-956835-7 Paperback
£71.00 / US$90.00 X
Large-Scale Data
Analytics with Python and Spark
A Hands-on Guide to Implementing Machine Learning Solutions
Isaac Triguero and Mikel Galar
A hands-on textbook for courses on large-scale data analytics and designing machine learning solutions.
November 2023 244 x 170 mm 422pp
PB, EB,CA
978-1-00-931825-9 Paperback
£29.99 / US$39.99 X
Data Science
Data-Driven Science and Engineering
Machine Learning, Dynamical Systems, and Control
Second edition
Steven L. Brunton, J. Nathan Kutz
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,CA
978-1-00-909848-9 Hardback
£52.00 / US$69.00 P
Computer Age
Statistical
Inference,
Student Edition
Algorithms, Evidence, and Data Science
Bradley Efron, Trevor Hastie
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,CA
978-1-108-82341-8 Paperback
£32.00 / US$45.00 P
Mining of Massive Datasets
Third edition
Jure Leskovec, Anand Rajaraman and Jeffrey David Ullman
Now in its third edition, this book focuses on practical algorithms for mining data from even the largest datasets.
January 2020 244 x 170 mm 566pp
76 b/w illus. 250 exercises HB, EB,CA 978-1-108-47634-8 Hardback
£68.00 / US$89.00 P
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,CA
978-1-108-83576-3 Hardback
£59.00 / US$79.00 X
Data Mining and Machine Learning
Fundamental Concepts and Algorithms
Second edition
Mohammed J. Zaki, Wagner Meira, Jr
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
January 2020 253 x 177 mm 776pp
297 b/w illus.
HB, EB,CA
978-1-108-47398-9 Hardback
£66.00 / US$89.00 P
Data Analysis for Business, Economics, and Policy
Gábor Békés, Gábor Kézdi
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,CA
978-1-108-71620-8 Paperback
£52.00 / US$72.00 X
Optimization for Data Analysis
Stephen J. Wright, Benjamin Recht
A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
April 2022 229 x 152 mm 238pp
HB, EB,CO
978-1-316-51898-4 Hardback
£40.00 / US$53.00 P
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
£47.00 / US$61.00 X
A First Course in Statistical Programming with R Third edition
W. John Braun, Duncan J. Murdoch
Get started computing with data. Learn general principles while learning R – now including the tidyverse
May 2021 246 x 189 mm 280pp
PB, EB,CA
978-1-108-99514-6 Paperback
£37.99 / US$48.00 P
Data Science
Principles of Database Management
The Practical Guide to Storing, Managing and Analyzing Big and Small Data
Wilfried Lemahieu, Seppe vanden Broucke and Bart Baesens
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
July 2018 246 x 189 mm 818pp 439 colour illus. 163 tables HB, EB,CA
978-1-107-18612-5 Hardback
£62.00 / US$84.00 X
Introduction to Information Retrieval
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze
A class-tested and up-to-date textbook for introductory courses on information retrieval.
September 2008 253 x 177 mm 506pp 5 b/w illus. 47 tables 263 exercises HB, EB,CA
978-0-521-86571-5 Hardback
£57.00 / US$76.00 X
Computer Architecture and Organization
Parallel Computer Organization and Design
Second edition
Michel Dubois, Murali Annavaram and Per Stenström
Design-oriented text for advanced computer architecture courses, with a streamlined structure and new material on GPUs and memory systems.
October 2025 254 x 203 mm 700pp
HB, EB,CA
978-1-00-944759-1 Hardback
£79.99 / US$105.00 X
Basic Electronics for Scientists and Engineers
Second edition
Dennis L. Eggleston
Ideal for a one-semester course, this second edition textbook covers the basics of electronics for science and engineering undergraduates.
October 2025 254 x 178 mm 290pp
PB, EB,CA
978-1-00-962239-4 Paperback
£39.99 / US$49.99 P
Computer Architecture for Scientists
Principles and Performance
Andrew A. Chien
A principled, high-level view of computer performance and how to exploit it. Ideal for software architects and data scientists.
March 2022 229 x 152 mm 264pp
HB, EB,CA
978-1-316-51853-3 Hardback
£52.00 / US$69.00 P
Logic in Computer Science
Modelling and Reasoning about Systems
Second edition
Michael Huth and Mark Ryan
Provides a sound basis in logic, and introduces logical frameworks used in modelling, specifying and verifying computer systems.
August 2004 247 x 174 mm 440pp 10 tables 400 exercises PB, EB,CA
978-0-521-54310-1 Paperback
£54.99 / US$73.00 X
Digital Design Using VHDL
A Systems Approach
William J. Dally, R. Curtis Harting and Tor M. Aamodt
Provides students with a system-level perspective and the tools they need to analyze and design complete digital systems using VHDL.
December 2015 246 x 189 mm 686pp 489 b/w illus. 68 tables HB, EB,CA
978-1-107-09886-2 Hardback
£66.00 / US$95.00 X
Quantum Information
A First Course
Asma Al-Qasimi and Daniel F. V. James
Foundational text on quantum information, aimed at students from various STEM backgrounds and written in an approachable style.
June 2025 254 x 203 mm 315pp
HB, EB,CA 978-1-00-951472-9 Hardback
£49.99 / US$64.99 X
Digital Design
A Systems Approach
William James Dally, R. Curtis Harting
This book provides students with a system-level perspective and the tools they need to analyze and design complete digital systems using Verilog.
November 2012 246 x 189 mm 636pp 469 b/w illus. 68 tables 639 exercises
HB 978-0-521-19950-6 Hardback
£63.00 / US$85.00 X
Quantum Computing
Building Quantum Computers
A Practical Introduction
Shayan Majidy, Christopher Wilson and Raymond Laflamme
An accessible and practical introduction to quantum computers, the physical technologies behind them, and how they are built.
July 2024 254 x 178 mm 272pp
HB, EB,CA 978-1-00-941701-3 Hardback
£39.99 / US$54.99 P
Quantum Computing Unveiled
A Concise Course with Topological Extensions
Yidun Wan
Designed for single-semester courses, this concise and accessible textbook goes from core topics to the cuttingedge of quantum computing.
January 2026 254 x 178 mm c.368pp HB, EB,CA 978-1-00-965607-8 Hardback c. £49.99 / c. US$64.99 P
Classical and
Quantum
Information Theory
Uncertainty, Information, and Correlation
Osvaldo Simeone
Discover the foundations of classical and quantum information theory in the digital age with this modern introductory textbook.
December 2025 254 x 178 mm c.958pp
HB, EB,CA 978-1-00-957952-0 Hardback c. £76.99 / c. US$99.99 X
Quantum Computing
Quantum Computation and Quantum Information
10th Anniversary Edition
Michael A. Nielsen and Isaac L. Chuang
This 10th anniversary edition includes an introduction from the authors setting the work in context.
December 2010 247 x 174 mm 702pp
200 b/w illus. 10 tables 598 exercises
HB, EB,CA
978-1-107-00217-3 Hardback
£62.00 / US$89.00 X
Quantum Computing since Democritus
Scott Aaronson
Takes students and researchers on a tour through some of the deepest ideas of maths, computer science and physics.
March 2013 228 x 152 mm 398pp
25 b/w illus.
PB, EB,CO
978-0-521-19956-8 Paperback
£46.00 / US$61.00 P
Quantum Computing for Computer Scientists
Noson S. Yanofsky and Mirco A. Mannucci
Finally, a textbook that explains quantum computing using techniques and concepts familiar to computer scientists.
November 2008 253 x 177 mm 402pp
4 b/w illus. 245 exercises
HB, EB,CO
978-0-521-87996-5 Hardback
£69.99 / US$95.00 X
Quantum Computer Science
An Introduction
N. David Mermin
A concise introduction to quantum computation for computer scientists who know nothing about quantum theory.
August 2007 246 x 189 mm 233pp
67 b/w illus.
HB, EB,CO
978-0-521-87658-2 Hardback
£54.99 / US$75.00 X
Foundations and Algorithms
Information Theory
From Coding to Learning
Yury Polyanskiy, Yihong Wu
An enthusiastic introduction to the fundamentals of information theory, from classical Shannon theory to modern statistical learning.
January 2025 254 x 178 mm 748pp
HB, EB,CA
978-1-108-83290-8 Hardback
£69.99 / US$89.99 X
Data Structures and Algorithms in Java
A Project-Based Approach
Dan S. Myers
A hands-on, active learning textbook for CS2 courses.
October 2024 254 x 203 mm 642pp
HB, EB,CA
978-1-00-926033-6 Hardback
£54.99 / US$69.99 X
How to Think about Algorithms
Second edition
Jeff Edmonds
Exceptionally student-friendly, now with over 150 new exercises, key concept summaries, and a new chapter on machine learning algorithms.
March 2024 244 x 170 mm 464pp
PB, HB, EB,CA
978-1-00-930213-5 Paperback
£29.99 / US$39.99 X
Algorithms Illuminated
Omnibus Edition
Tim Roughgarden
Algorithms Illuminated teaches the basics and key techniques of algorithms in the most accessible way imaginable.
January 2023 253 x 177 mm 690pp
350 b/w illus. 60 tables 200 exercises
HB
978-0-9992829-8-4 Hardback
£47.99 / US$59.97 X
Foundations and Algorithms
Introduction to Probability for Computing
Mor Harchol-Balter
A highly engaging and interactive undergraduate textbook specifically written for computer science courses.
September 2023 244 x 170 mm 555pp
HB, EB,CA
978-1-00-930907-3 Hardback
£54.99 / US$69.99 X
Probability and Computing
Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Second edition
Michael Mitzenmacher and Eli Upfal
This greatly expanded new edition offers a comprehensive introduction to randomization and probabilistic techniques in modern computer science.
July 2017 253 x 177 mm 484pp
8 b/w illus. 1 table
HB, EB
978-1-107-15488-9 Hardback
£52.00 / US$74.00 X
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,CA
978-1-108-43953-4 Paperback
£37.00 / US$45.00 X
The Probability Companion for Engineering and Computer Science
Adam Prügel-Bennett
Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.
January 2020 253 x 177 mm 470pp
356 b/w illus.
PB, HB, EB,CO
978-1-108-72770-9 Paperback
£49.00 / US$67.00 P
Foundations and Algorithms
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,CA
978-1-00-915049-1 Hardback
£60.00 / US$79.00 X
Complexity Science
The Study of Emergence
Henrik Jeldtoft Jensen
This introductory textbook provides detailed coverage of the rapidly growing field of complexity science, for a broad audience of readers.
November 2022 254 x 178 mm 458pp
HB, EB,CA
978-1-108-83476-6 Hardback
£42.00 / US$53.00 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 358pp
PB, EB,CA
978-1-00-909628-7 Paperback
£34.99 / US$44.99 X
An Invitation to Combinatorics
Shahriar Shahriari
A conversational introduction to combinatorics for upper undergraduates, emphasizing problem solving and active student participation.
Cambridge Mathematical Textbooks
July 2021 246 x 189 mm 628pp
HB, EB,CA
978-1-108-47654-6 Hardback
£41.00 / US$53.00 X
Combinatorial Mathematics
Douglas B. West
This is the most readable and thorough graduate textbook and reference for combinatorics, covering enumeration, graphs, sets, and methods.
July 2020 246 x 189 mm 988pp
2200 exercises
HB, EB,CA
978-1-107-05858-3 Hardback
£69.00 / US$89.00 X
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,CA
978-1-108-82423-1 Paperback
£38.00 / US$50.00 X
Mathematical Logic through Python
Yannai A. Gonczarowski, Noam Nisan
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
£24.00 / US$32.00 P
Hands-On Mathematical Optimization with Python
Krzysztof Postek, Alessandro Zocca, Joaquim A. S. Gromicho and Jeffrey C. Kantor
A hands-on Python-based guide to mathematical optimization for undergraduates and graduates, with numerous applications and code samples.
January 2025 254 x 178 mm 354pp
PB, EB,CA
978-1-00-949350-5 Paperback
£39.99 / US$49.99 X
Linear Algebra and Optimization
Essential Mathematics for Convex Optimization
Fatma Kılınç-Karzan and Arkadi Nemirovski
A textbook that introduces both convex analysis and modern topics in optimization in a mathematically rigorous yet accessible way.
June 2025 254 x 178 mm 450pp
HB, EB,CA
978-1-00-951052-3 Hardback
£54.99 / US$69.99 X
Convex Optimization
Stephen Boyd and Lieven Vandenberghe
A comprehensive introduction to the tools, techniques and applications of convex optimization.
March 2004 246 x 189 mm 727pp
337 exercises HB, EB,CA
978-0-521-83378-3 Hardback
£84.99 / US$105.00 C
Convexity and its Applications in Discrete and Continuous Optimization
Amitabh Basu
A unified introduction to continuous and discrete aspects of convexity, including recent developments in optimization and 300+ exercises.
January 2025 229 x 152 mm c.328pp HB, EB,CO
978-1-108-83759-0 Hardback
£54.99 / US$69.99 P
A Gentle Introduction to Optimization
B. Guenin, J. Könemann and L. Tunçel
Assuming only basic linear algebra, this textbook is the perfect starting point for undergraduate students from across the mathematical sciences.
July 2014 247 x 174 mm 279pp 55 b/w illus. 25 colour illus. 20 tables 140 exercises PB, HB, EB,CA 978-1-107-65879-0 Paperback
£41.00 / US$58.00 X
Linear Algebra and Optimization
Advanced Linear Algebra
A Concise Text with Contemporary Applications
Second edition
Yisong Yang
This engaging text helps advanced undergraduate students grasp core concepts in linear algebra and examines contemporary applications.
June 2025 229 x 152 mm 472pp
PB, EB,CA
978-1-00-958984-0 Paperback
£39.99 / US$49.99 X
Matrix Mathematics
A Second Course in Linear Algebra
Second edition
Stephan Ramon Garcia and 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 490pp
HB, EB,CA
978-1-108-83710-1 Hardback
£54.99 / US$69.99 X
Linear Algebra and Optimization
Linear Algebra and Learning from Data
Gilbert Strang
From Gilbert Strang, the first textbook that teaches linear algebra together with deep learning and neural nets.
Not for sale in North America
January 2019 234 x 191 mm 446pp
HB 978-0-692-19638-0 Hardback
£62.99 / US$83.99 X
A First Course in Network Science
Filippo Menczer, Santo Fortunato and Clayton A. Davis
A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.
February 2020 246 x 189 mm 300pp
131 b/w illus. 131 colour illus. HB, EB,CA 978-1-108-47113-8 Hardback
£41.00 / US$55.00 X
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Jeffrey A. Fessler and 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 452pp
HB, EB,CA
978-1-00-941814-0 Hardback
£49.99 / US$64.99 X
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,CA 978-1-316-51896-0 Hardback
£43.00 / US$55.00 X
Network Science
Network Science
Albert-László Barabási, Márton Pósfai
Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.
July 2016 246 x 189 mm 475pp 371 colour illus. 12 tables 30 exercises HB 978-1-107-07626-6 Hardback £49.00 / US$66.00 P
Networks, Crowds, and Markets
Reasoning about a Highly
Connected World
David Easley and Jon Kleinberg
Reveals the interdisciplinary field of networks, which changes how we look at social, financial and technological interactions in modern society.
September 2010 253 x 215 mm 744pp 332 b/w illus. 128 exercises HB, EB,CO
978-0-521-19533-1 Hardback
£57.00 / US$76.00 X
Formal Methods, Informally How to Write Programs That Work
Carroll Morgan
An undergraduate textbook showing how to use formal methods informally, without formal logic, to write and maintain computer programs.
January 2026 244 x 170 mm c.382pp
PB, HB, EB,CA
978-1-00-942102-7 Paperback
c. £39.99 / c. US$49.99 X
Programming Languages
Build, Prove, and Compare
Norman Ramsey
Teaches students about great programming-language ideas and how to use them in programming practice.
October 2022
254 x 178 mm 800pp
HB, EB,CA
978-1-107-18018-5 Hardback
£68.00 / US$90.00 P
Software Engineering Basic Principles and Best Practices
Ravi Sethi
Designed for introductory courses with a significant team project, this textbook presents concepts with reallife case studies and examples.
December 2022 244 x 170 mm 360pp
HB, EB,CA
978-1-316-51194-7 Hardback
£47.00 / US$64.00 X
Essentials of Software Testing
Ralf Bierig, Stephen Brown, Edgar Galván, Joe Timoney
This accessible introduction demonstrates a range of testing techniques in the context of a single worked example that runs throughout.
August 2021 244 x 170 mm 318pp
HB, EB,CA
978-1-108-83334-9 Hardback
£49.00 / US$67.00 P
Programming and Software Development
Introduction to Software Testing
Second edition
Paul Ammann and Jeff Offutt
This classroom-tested new edition features expanded coverage of the basics and test automation frameworks, with new exercises and examples.
December 2016 253 x 177 mm 364pp
79 b/w illus.
HB, EB,CA
978-1-107-17201-2 Hardback
£57.00 / US$76.00 X
Competitive Programming in Python
128 Algorithms to Develop your Coding Skills
Christoph Dürr, Jill-Jênn Vie, Greg Gibbons, Danièle Gibbons
All the algorithms, proofs, and implementations in Python you need to know for tech job interviews and coding competitions.
December 2020 244 x 170 mm 264pp
PB, EB,CO
978-1-108-71682-6 Paperback
£35.00 / US$47.00 P
Programming in Haskell
Second
edition
Graham Hutton
This extensively updated and expanded version of the best-selling first edition now covers recent and more advanced features of Haskell.
September 2016 216 x 138 mm 318pp
1 b/w illus. 120 exercises
PB, EB,CA
978-1-316-62622-1 Paperback
£34.99 / US$47.00 X
Modern Compiler Implementation in Java
Second edition
Andrew W. Appel with Jens Palsberg
The second edition features a redesigned compiler project in Java, for a subset of Java itself.
October 2002 246 x 156 mm 512pp
80 b/w illus. 35 tables 135 exercises HB, EB,CO
978-0-521-82060-8 Hardback
£71.00 / US$110.00 X
Modern Compiler Implementation in ML
Andrew W. Appel
Describes all phases of a modern compiler, including techniques in code generation and register allocation for imperative, functional and object-oriented languages.
July 2004 246 x 189 mm 552pp
80 b/w illus. 34 tables 117 exercises
PB, EB,CO
978-0-521-60764-3 Paperback
£66.00 / US$99.00
Modern Compiler Implementation in C
Andrew W. Appel with Maia Ginsburg
Describes all phases of a modern compiler, including techniques in code generation and register allocation for imperative, functional and object-oriented languages.
July 2004 246 x 189 mm 556pp
80 b/w illus. 34 tables 117 exercises
PB, EB,CO
978-0-521-60765-0 Paperback
£68.00 / US$99.00
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