Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

Books Journals

Boundary Value Problems and Partial Differential Equations

7th Edition
February 5, 2026
Jonathan Mitchell + 3 more
English

For over fifty years, Boundary Value Problems and Partial Differential Equations, Seventh Edition has provided advanced students an accessible and practical introduction to deriving, solving, and interpreting explicit solutions involving partial differential equations with boundary and initial conditions. Fully revised and now in its Seventh Edition, this valued text aims to be comprehensive without affecting the accessibility and convenience of the original. The resource’s main tool is Fourier analysis, but the work covers other techniques, including Laplace transform, Fourier transform, numerical methods, characteristics, and separation of variables, as well, to provide well-rounded coverage. Mathematical modeling techniques are illustrated in derivations, which are widely used in engineering and science. In particular, this includes the modeling of heat distribution, a vibrating string or beam under various boundary conditions and constraints. New to this edition, the text also now uniquely discusses the beam equation. Throughout the text, examples and exercises have been included, pulled from the literature based on popular problems from engineering and science. These include some "outside-the-box" exercises at the end of each chapter, which provide challenging and thought-provoking practice that can also be used to promote classroom discussion. Chapters also include Projects, problems that synthesize or dig more deeply into the material that are slightly more involved than standard book exercises, and which are intended to support team solutions. Additional materials, exercises, animations, and more are also accessible to students via links and in-text QR codes to support practice and subject mastery.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

1st Edition
February 1, 2026
Manuel González Canché
English
Paperback
9 7 8 0 4 4 3 2 1 9 6 1 0
eBook
9 7 8 0 4 4 3 2 1 9 6 0 3

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools—just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Quantum Machine Learning (QML): Platform, Tools & Applications

1st Edition
Volume 140
February 1, 2026
Shiho Kim + 1 more
English

Extended Hypergeometric Functions and Orthogonal Polynomials

1st Edition
February 1, 2026
Praveen Agarwal + 1 more
English

Extended Hypergeometric Functions and Orthogonal Polynomials presents a comprehensive and accessible resource for researchers and graduate students interested in exploring the rich connections between extended hypergeometric functions, orthogonal polynomials, and multivariable polynomials. Integrating all three fields and their applications in Maple, Mathematica, and MATLAB, this book fosters interdisciplinary understanding and inspires new avenues of research in mathematics, engineering, physics, and computer science. It also provides a glimpse into future research directions in these areas, including potential applications in emerging fields of applied mathematics and interdisciplinary collaborations. Each chapter begins with an introduction, includes sections on theory, followed by sections on applications, and ends with exercises, problems, references and suggested readings.

Elementary Real Analysis

1st Edition
February 1, 2026
Thomas Bieske
English

Elementary Real Analysis: A Practical Introduction provides a robust foundation for success in real analysis, presenting traditional material in an accessible, engaging manner with the support of clearly outlined learning objectives and exercises.Organized into three well-designed sections, the book begins with a comprehensive review of prerequisite knowledge. Section I includes chapters such as "Sets," "Mathematical Statements," and "Proof Methods", which establish the essential language and techniques of advanced mathematics. Section II explores the properties of real numbers, integers, and functions, each accompanied by a wealth of exercises that encourage exploration and practice. The final section delves into advanced topics such as sequences, continuity, and differentiation, culminating in a synthesis of concepts that prepares students for rigorous mathematical analysis.Whether used in a classroom or for self-directed learning, Elementary Real Analysis: A Practical Introduction is a vital companion for students seeking an introduction to real analysis, bridging the gap between basic principles and advanced mathematical concepts with clarity and precision.

Multidimensional Signal Processing

1st Edition
Volume 54
February 1, 2026
Arni S.R. Srinivasa Rao + 3 more
English

An Introduction to Stochastic Modeling

5th Edition
January 2, 2026
Gabriel Lord + 1 more
English
Paperback
9 7 8 0 4 4 3 3 1 5 5 2 7
eBook
9 7 8 0 4 4 3 3 1 5 5 3 4

An Introduction to Stochastic Modeling, Fifth Edition bridges the gap between basic probability and an intermediate level course in stochastic processes, serving as the foundation for either a one-semester or two-semester course in stochastic processes for students familiar with elementary probability theory and calculus. The objectives are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide an integrated treatment of theory, applications and practical implementation. A well-regarded resource for many years, the text is an ideal foundation for a broad range of students.

Eleventh Hour CISSP®

4th Edition
January 1, 2026
Eric Conrad + 2 more
English
Paperback
9 7 8 0 4 4 3 1 8 6 8 8 2
eBook
9 7 8 0 4 4 3 1 8 6 8 9 9

Eleventh Hour CISSP®: Study Guide, Fourth Edition provides a study guide keyed directly to the most current version of the CISSP exam. This streamlined book includes only core certification information, making it ideal for last-minute studying. The main objectives of the exam are covered concisely, with key concepts highlighted. The CISSP certification is the most prestigious, globally-recognized, vendor neutral exam for information security professionals. Over 100,000 professionals are certified worldwide with many more joining their ranks. All eight domains are covered completely and concisely, giving readers the best possible chance of acing the exam.This new edition is aligned to cover all of the material in the most current version of the exam’s Common Body of Knowledge.

Mathematics and Biomedical Engineering in Medicine, Physiology and Health Sciences

1st Edition
January 1, 2026
Dhanjoo N. Ghista + 3 more
English
Hardback
9 7 8 0 4 4 3 3 0 1 8 6 5
eBook
9 7 8 0 4 4 3 3 0 1 8 7 2

Mathematics and Biomedical Engineering in Medicine, Physiology and Health Sciences is a visionary book, whose purpose is to demonstrate how fundamental mathematics and biomedical engineering can be incorporated into physiology, medicine, and health sciences teaching, research,and clinical practice to make these disciplines more quantitative and computational, and hence more explanatory and informative. The book also provides more quantitative formulation of medical procedures, towards supporting the growing field of precision medicine.The book comprises two categories of chapters:Category 1. Mathematical Systems, from Basic Calculus to Differential Equations, and their Applications in Physiology, Medicine, and Health Sciences.Category 2. Physiological, Medical, and Health Sciences, involving Mathematical and Biomedical Engineering Formulations.In Category 2, the book has chapters in the following sections:Section 1. Glucose-Insulin Regulatory System Physiology and Diabetes DiagnosticsSection 2. Lung Ventilation Physiology and Ventilation Index for Lung disordersSection 3. Cardiovascular Physiology and MedicineSection 4. Spinal Engineering and OrthopedicsSection 5. Renal Function Analysis and DialysisSection 6. Neuronal Physiology and EngineeringSection 7. Healthcare Management and Personalized HealthcareCategory 1 chapters can enable medical students to learn how basic mathematics can be incorporated into physiology, medicine, and health sciences teaching, towards making these disciplines more quantitative and computational, and hence more explanatory and informative.Category 2 chapters can provide quantitative formulation of physiological systems, medical procedures, and health sciences towards meeting the new trend of precision medicine. Some advanced chapters can even be employed in the MD-PhD (Mathematics & Biomedical Engineering) Program.This fundamental book will thereby contribute to the transformation of medical schools, incorporating mathematics and physiology into teaching physiology, medicine, and health sciences.

Functional Analysis: Theory and Applications

1st Edition
January 1, 2026
Ravi P. Agarwal + 2 more
English
Paperback
9 7 8 0 4 4 3 3 3 1 7 4 9
eBook
9 7 8 0 4 4 3 3 3 1 7 5 6

An applied understanding of functional analysis is essential for students pursuing research or careers in pure mathematics, applied mathematics, mathematical physics, and engineering, among other disciplines.Function... Analysis: Theory and Applications offers a comprehensive exploration of functional analysis. Authored by esteemed mathematicians with extensive expertise in the field, this book thoroughly introduces fundamental concepts in functional analysis, including Banach spaces, Hilbert spaces, operator theory, nonlinear analysis, linear operators, and normed spaces, and implements these in real-world problems across various scientific and engineering disciplines.The book's rigorous mathematical treatment is combined with worked examples, exercises and solutions, visual aids, application case studies, and future directions across all chapters to reinforce learning, while appendices offer supplementary materials, proofs of theorems, and tables of important results, among other resources.

Related subjects

Mathematics and applied mathematics

Statistics and probability

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health