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257 results in Cambridge Textbooks

Page 1 of 13

Computer Networks

Engineering Dynamics
  • 2nd edition
  • Jerry H. Ginsberg, Matthew S. Allen, Philip A. Voglewede
  • Coming soon
  • Expected online publication date:
    April 2026
    Print publication:
    30 April 2026
  • Fully revised and updated, the new edition of Engineering Dynamics provides a comprehensive, self-contained and accessible treatment of classical dynamics. All chapters have been reworked to enhance student understanding, and new features include a stronger emphasis on computational methods, including rich examples using both Matlab and Python; new capstone computational examples extend student understanding, including modelling the flight of a rocket and the unsteady rolling of a disk. The coverage of Lagrange's equations is improved, spanning simple systems and systems relevant to engineers. It provides students with clear, systematic methods for solving problems in dynamics, demonstrates how to solve equations of motion numerically, and explains all mathematical operators. Including over 150 real-world examples to motivate student learning, over 400 homework problems, and accompanied online by Matlab and Python repositories and supplemental material, the new edition of this classic is ideal for senior undergraduate and graduate students in engineering.

Control Systems Theory
  • N Sukavanam
  • Coming soon
  • Expected online publication date:
    March 2026
    Print publication:
    01 May 2027

Elementary Cartesian Tensors

A Student's Guide to the Laws of Thermodynamics
  • Justin W. Garvin
  • Coming soon
  • Expected online publication date:
    March 2026
    Print publication:
    31 March 2026
  • Using a welcoming and conversational style, this Student's Guide takes readers on a tour of the laws of thermodynamics, highlighting their importance for a wide range of disciplines. It will be a valuable resource for self-guided learners, students, and instructors working in physics, engineering, chemistry, meteorology, climatology, cosmology, biology, and other scientific fields. The book discusses thermodynamic properties such as temperature, internal energy, and entropy, and develops the laws through primarily observational means without extensive reference to atomic principles. This classical approach allows students to get a handle on thermodynamics as an experimental science and prepares them for more advanced study of statistical mechanics, which is introduced in the final chapter. Detailed practical examples are used to illustrate the theoretical concepts, with a selection of problems included at the end of each chapter to facilitate learning. Solutions to these problems can be found online along with additional supplemental materials.

Random Vibrations
  • A Primer
  • Debasish Roy, G. Visweswara Rao
  • Coming soon
  • Expected online publication date:
    March 2026
    Print publication:
    31 March 2026
  • This textbook chart out an easy-to-comprehend account of the methods of random vibrations, aided by modern yet basic concepts in probability theory and random processes. It starts with a quick review of certain elements of structural dynamics, thus setting the stage for their seamless continuation in developing techniques for response analyses of structures under random environmental loads, such as winds and earthquakes. The book also offers a few glimpses of the powerful tools of stochastic processes to kindle the spirit of scientific inquiry. By way of applications, it contains numerous illustrative examples and exercises, many of which relate to practical design problems of interest to the industry. A companion website provides solutions to all the problems in the exercises. For the benefit of the prospective instructors, a semester-long schedule for offering a course on Random Vibrations is also suggested.

Materials Management
  • Sanjay Sharma
  • Coming soon
  • Expected online publication date:
    February 2026
    Print publication:
    31 January 2026
  • The field of materials management has its own significance in the industrial and business environment. This incorporates procurement as well as production of items. In this context, certain factors play very important role. A detailed understanding of these factors is necessary for knowing the implications pertaining to their variation among other issues. This book on Materials Management covers a good understanding of relevant conceptual topics and various parameters involved in the analysis of inventory situations. Several numericals, practical examples and cases are explained, considering relevant situation along with the different industrial and managerial aspects, making it a useful resource for students as well as instructors. It will also be helpful in generating various projects in engineering and allied management areas.

Analytical Aircraft Flight
  • Dynamics, Performance, Stability, and Control
  • Hugh H.-T. Liu
  • Coming soon
  • Expected online publication date:
    February 2026
    Print publication:
    31 January 2026
  • Master the principles of flight dynamics, performance, stability, and control with this comprehensive and self-contained textbook. A strong focus on analytical rigor, balancing theoretical derivations and case studies, equips students with a firm understanding of the links between formulae and results. Over 130 step-by-step examples and 130 end-of-chapter problems cement student understanding, with solutions available to instructors. Computational Matlab code is provided for all examples, enabling students to acquire hands-on understanding, and over 200 ground-up diagrams, from simple “paper plane” models through to real-world examples, draw from leading commercial aircraft. Introducing fundamental principles and advanced concepts within the same conceptual framework, and drawing on the author's over 20 years of teaching in the field, this textbook is ideal for senior undergraduate and graduate-level students across aerospace engineering.

Classical and Quantum Information Theory
  • Uncertainty, Information, and Correlation
  • Osvaldo Simeone
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    31 January 2026
  • Discover the foundations of classical and quantum information theory in the digital age with this modern introductory textbook. Familiarise yourself with core topics such as uncertainty, correlation, and entanglement before exploring modern techniques and concepts including tensor networks, quantum circuits and quantum discord. Deepen your understanding and extend your skills with over 250 thought-provoking end-of-chapter problems, with solutions for instructors, and explore curated further reading. Understand how abstract concepts connect to real-world scenarios with over 400 examples, including numerical and conceptual illustrations, and emphasising practical applications. Build confidence as chapters progressively increase in complexity, alternating between classic and quantum systems. This is the ideal textbook for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics, looking to master the essentials of contemporary information theory.

Parallel Computer Organization and Design
  • 2nd edition
  • Michel Dubois, Murali Annavaram, Per Stenström
  • Coming soon
  • Expected online publication date:
    January 2026
    Print publication:
    09 October 2025
  • Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. Self-contained yet concise, the material can be taught in a single semester, making it perfect for use in senior undergraduate and graduate computer architecture courses. This edition has a more streamlined structure, with the reliability and other technology background sections now included in the appendix. New material includes a chapter on GPUs, providing a comprehensive overview of their microarchitectures; sections focusing on new memory technologies and memory interfaces, which are key to unlocking the potential of parallel computing systems; deeper coverage of memory hierarchies including DRAM architectures, compression in memory hierarchies and an up-to-date coverage of prefetching. Practical examples demonstrate concrete applications of definitions, while the simple models and codes used throughout ensure the material is accessible to a broad range of computer engineering/science students.

Computer Vision
  • Fundamentals and Applications
  • Jayanta Mukhopadhyay, Shashaank Aswatha Mattur
  • Coming soon
  • Expected online publication date:
    December 2025
    Print publication:
    31 December 2025
  • The textbook is primarily written for senior undergraduate and post graduate students studying in areas of computer science and engineering, and electrical engineering. However, as the subject covers various interdisciplinary areas, the book is also expected to be of interest to a larger readership in Science and Engineering. It has a comprehensive and balanced coverage of theory and applications of computer vision with a textbook approach providing worked out examples, and exercises. It covers theory and applications of some relatively recent advancements in technology such as on colour processing, deep learning techniques for processing images and videos, document processing, biometry, content based image retrieval, etc. It also delves with theories and processing in non-optical imaging systems, such as range or depth imaging, medical imaging and remote sensing imaging.

Basic Electronics for Scientists and Engineers
  • 2nd edition
  • Dennis L. Eggleston
  • Coming soon
  • Expected online publication date:
    December 2025
    Print publication:
    20 November 2025
  • While an understanding of electronic principles is vitally important for scientists and engineers working across many disciplines, the breadth of the subject can make it daunting. This textbook offers a concise and practical introduction to electronics, suitable for a one-semester undergraduate course as well as self-guided students. Beginning with the basics of general circuit laws and resistor circuits to ease students into the subject, the textbook then covers a wide range of topics, from passive circuits to semiconductor-based analog circuits and basic digital circuits. Exercises are provided at the end of each chapter, and answers to select questions are included at the end of the book. The complete solutions manual is available for instructors to download, together with eight laboratory exercises that parallel the text. Now in its second edition, the text has been updated and expanded with additional topic coverage and exercises.

Introduction to Machine Learning
  • From Math to Code
  • Ruye Wang
  • Coming soon
  • Expected online publication date:
    December 2025
    Print publication:
    18 December 2025
  • Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.

Financial Data Science
  • Giuseppe Calafiore, Laurent El Ghaoui, Giulia Fracastoro, Alicia Tsai
  • Coming soon
  • Expected online publication date:
    December 2025
    Print publication:
    17 July 2025
  • Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.

Statistics for Chemical Engineers
  • From Data to Models to Decisions
  • Victor M. Zavala
  • Published online:
    12 December 2025
    Print publication:
    25 September 2025
  • Build a firm foundation for studying statistical modelling, data science, and machine learning with this practical introduction to statistics, written with chemical engineers in mind. It introduces a data–model–decision approach to applying statistical methods to real-world chemical engineering challenges, establishes links between statistics, probability, linear algebra, calculus, and optimization, and covers classical and modern topics such as uncertainty quantification, risk modelling, and decision-making under uncertainty. Over 100 worked examples using Matlab and Python demonstrate how to apply theory to practice, with over 70 end-of-chapter problems to reinforce student learning, and key topics are introduced using a modular structure, which supports learning at a range of paces and levels. Requiring only a basic understanding of calculus and linear algebra, this textbook is the ideal introduction for undergraduate students in chemical engineering, and a valuable preparatory text for advanced courses in data science and machine learning with chemical engineering applications.

Introduction to Biomaterials
  • Basic Theory with Engineering Applications
  • 2nd edition
  • C. Mauli Agrawal, Joo L. Ong, Mark R. Appleford, Gopinath Mani
  • Published online:
    01 December 2025
    Print publication:
    20 November 2025
  • Revised and updated throughout, the second edition of this succinct textbook provides the perfect introduction to biomaterials, linking the fundamental properties of metals, polymers, ceramics and natural biomaterials to the unique advantages and limitations surrounding their biomedical applications. New chapters on protein chemistry and interactions, immunology and tissue response, and biocompatibility round out student understanding. Clinical concerns such as sterilization, surface modification, cell-biomaterial interactions, drug delivery systems and tissue engineering are discussed, giving students insight into real-world challenges associated with biomaterials engineering. Key concepts are summarized alongside the text, allowing students to identify the most vital information. The final chapter discusses clinical applications, challenging students to consider future industrial possibilities. Concise enough to be taught in one semester, requiring only a basic understanding of biology, accompanied by over 180 end-of-chapter problems, and featuring color figures throughout, this accessible textbook continues to be ideal for students of engineering, materials science and medicine.

Green Energy and Sustainable Development
  • Mohammad Rihan
  • Published online:
    30 November 2025
    Print publication:
    31 December 2025
  • This book is an effort to fill the gap of a comprehensive textbook that covers topics related to green energy sources. It connects climate change, sustainable development goals, and green electricity as a simple text for students, faculty, and practising engineers. It explains the green energy technology as a key part of the overall electricity network and brings practical system insights. The author's unique experience as an academic, researcher, and policy maker, combined with first-hand experience in the field, makes the book rich in practical insights, case studies and real-world applications. It also presents a clear roadmap for any organization to implement green energy setup, implement energy efficiency and conservation measures and hence reduce carbon footprints. A detailed coverage on policies, regulation, major projects etc. in the country is one of the key strengths of the book.

Analysis and Design of Data Converters
  • Behzad Razavi
  • Published online:
    13 November 2025
    Print publication:
    03 July 2025
  • Master the art of data converter design with this definitive textbook, a detailed and accessible introduction ideal for students and practicing engineers. Razavi's distinctive and intuitive pedagogical approach, building up from elementary components to complex systems. Step-by-step transistor-level designs and simulations offer a practical hands-on understanding of key design concepts. Comprehensive coverage of essential topics including sampling circuits, comparator design, digital-to-analog converters, flash topologies, SAR and pipelined architectures, time-interleaved converters, and oversampling systems. Over 250 examples pose thought-provoking questions, reinforcing core concepts and helping students develop confidence. Over 350 end-of-chapter homework problems to test student understanding, with solutions available for course instructors. Developed by leading author Behzad Razavi, and addressing all the principles and design concepts essential to today's engineers, this is the ideal text for senior undergraduate and graduate-level students and professional engineers who aspire to excel in data converter analysis and design.

Mechanical Behavior of Materials
  • 3rd edition
  • Marc A. Meyers, Krishan K. Chawla
  • Published online:
    31 October 2025
    Print publication:
    22 May 2025
  • Fully revised and updated, the new edition of this classic textbook places a stronger emphasis on real-world test data and trains students in practical materials applications; introduces new testing techniques such as micropillar compression and electron back scatted diffraction; and presents new coverage of biomaterials, electronic materials, and cellular materials alongside established coverage of metals, polymers, ceramics and composites. Retaining its distinctive emphasis on a balanced mechanics-materials approach, it presents fundamental mechanisms operating at micro- and nanometer scales across a wide range of materials, in a way that is mathematically simple and requires no extensive knowledge of materials, and demonstrates how these microstructures determine the mechanical properties of materials. Accompanied by online resources for instructors, and including over 40 new figures, over 100 worked examples, and over 740 exercises, including over 280 new exercises, this remains the ideal introduction for senior undergraduate and graduate students in materials science and engineering.

Essential Mathematics for Convex Optimization
  • Fatma Kılınç-Karzan, Arkadi Nemirovski
  • Published online:
    22 October 2025
    Print publication:
    26 June 2025
  • With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathematics, computer science, and engineering. Authored by two influential researchers, the book covers both convex analysis basics and modern topics such as conic programming, conic representations of convex sets, and cone-constrained convex problems, providing readers with a solid, up-to-date understanding of the field. By excluding modeling and algorithms, the authors are able to discuss the theoretical aspects in greater depth. Over 170 in-depth exercises provide hands-on experience with the theory, while more than 30 'Facts' and their accompanying proofs enhance approachability. Instructors will appreciate the appendices that cover all necessary background and the instructors-only solutions manual provided online. By the end of the book, readers will be well equipped to engage with state-of-the-art developments in optimization and its applications in decision-making and engineering.

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