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Books in Applied mathematics

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    • Introduction to Fuzzy Mathematics

      • 1st Edition
      • March 1, 2026
      • John Mordeson + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 0 9 7 7
      • eBook
        9 7 8 0 4 4 3 4 4 0 9 8 4
      Introduction to Fuzzy Mathematics: With Applications to Global Problems offers a modern approach to solving complex challenges by applying fuzzy mathematics to real-world situations. This book provides readers with the foundational tools necessary to address pressing issues, such as medical diagnostics, sustainability, refugee crises, and combating human trafficking. With a focus on practical application, each chapter features research projects and exercises that encourage hands-on learning. By integrating theoretical concepts with actionable techniques, the book empowers readers to use fuzzy mathematics as a means of understanding and addressing global problems in a nuanced and innovative way.The text is organized to move from fundamental topics, including fuzzy sets, evidence theory, and implication operators, to advanced applications in areas like sustainability, climate change, and public health models. It further explores the mathematics behind refugee dynamics and delves into fuzzy algebraic structures, geometry, topology, and graph theory. This comprehensive resource is suitable for researchers, practitioners, and policymakers, enhancing their ability to apply mathematical rigor to complex issues.

    • Extended Hypergeometric Functions and Orthogonal Polynomials

      • 1st Edition
      • February 1, 2026
      • Praveen Agarwal + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 4 8 4 6
      • eBook
        9 7 8 0 4 4 3 3 6 4 8 5 3
      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.

    • Recent Developments in Theory and Applications of Fractional Order Systems

      • 1st Edition
      • August 11, 2025
      • Mehmet Yavuz + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 3 9 5 2 6
      • eBook
        9 7 8 0 4 4 3 2 3 9 5 3 3
      Recent Developments in Theory and Applications of Fractional Order Systems presents a rigorous and thorough analysis of various aspects of Fractional Calculus. The book provides readers with a thorough understanding of fundamental concepts and methods of applied mathematics utilized in a variety of scientific and engineering disciplines. The authors present each computational modeling concept with a definition, methods, theorems, and observations followed by typical application problems and step-by-step solutions. Each topic is covered in detail, followed typically by several meticulously worked out examples and a problem set containing many additional related problems.In addition, the book discusses recent developments and the latest research on Fractional Calculus and its applications, demonstrating important applications in Engineering, Computer Science, Management, Social Science, and the Humanities.

    • Methods of Mathematical Modeling

      • 1st Edition
      • July 18, 2025
      • Hemen Dutta
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 3 1 7 6
      • eBook
        9 7 8 0 4 4 3 1 3 3 1 6 9
      Methods of Mathematical Modeling: Advances and Applications delves into recent progress in this field, highlighting innovative methods and their uses in different domains. This book covers convergence analysis involving nonlinear integral equations and boundary value problems, Navier-Stokes equations in Sobolev-Gevrey spaces, magneto-hydrodynamic... of ternary nanofluids with heat transfer effects, vortex nerve complexes in video frame shape approximation, hybrid schemes for computing hyperbolic conservation laws, and solutions to new fractional differential equations. Additionally, the book examines dynamics of Leslie-Gower type predator-prey models and models for the dynamics of generic crop and water availability.Readers will find diverse approaches, techniques, and applications needed for modeling various physical and natural systems. Each chapter is self-contained, encouraging independent study and application of the modeling examples to individual research projects. This book serves as a valuable resource for researchers, students, educators, scientists, and practitioners involved in different aspects of modeling.

    • Integral Manifolds for Impulsive Differential Problems with Applications

      • 1st Edition
      • April 24, 2025
      • Ivanka Stamova + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 1 3 4 6
      • eBook
        9 7 8 0 4 4 3 3 0 1 3 5 3
      Integral Manifolds for Impulsive Differential Problems with Applications offers readers a comprehensive resource on integral manifolds for different classes of differential equations which will be of prime importance to researchers in applied mathematics, engineering, and physics. The book offers a highly application-oriented approach, reviewing the qualitative properties of integral manifolds which have significant practical applications in emerging areas such as optimal control, biology, mechanics, medicine, biotechnologies, electronics, and economics. For applied scientists, this will be an important introduction to the qualitative theory of impulsive and fractional equations which will be key in their initial steps towards adopting results and methods in their research.

    • Mathematical Modeling in Bioscience

      • 1st Edition
      • March 27, 2025
      • Hemen Dutta
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 4 4 5 4
      • eBook
        9 7 8 0 4 4 3 1 5 4 4 6 1
      Mathematical Modeling in Bioscience: Theory and Applications provides readers with tools and techniques for mathematical modeling in bioscience through a wide range of novel and intriguing topics. The book concentrates on larger elements of mathematical modeling in bioscience, including topics such as modeling of the Topp--Leone new power generalized Weibull-G distribution family, vector-borne disease modeling, transmission modeling of SARS-COV-2 among other infectious diseases, pattern formulation models, compartmental models for HIV/AIDS transmission, population models, irrigation scheduling models, and predator--prey models. The readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in bioscience modeling. This book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in mathematical modeling, including mathematics, statistics, biology, biomedical engineering, computer science, and applied sciences.

    • Statistical Modeling and Robust Inference for One-shot Devices

      • 1st Edition
      • March 26, 2025
      • Narayanaswamy Balakrishnan + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 4 1 5 3 9
      • eBook
        9 7 8 0 4 4 3 1 4 1 5 2 2
      The study of one-shot devices such as automobile airbags, fire extinguishers, or antigen tests, is rapidly becoming an important problem in the area of reliability engineering. These devices, which are destroyed or must be rebuilt after use, are a particular case of extreme censoring, which makes the problem of estimating their reliability and lifetime challenging. However, classical statistical and inferential methods do not consider the issue of robustness.Statistic... Modeling and Robust Interference for One-shot Devices offers a comprehensive investigation of robust techniques of one-shot devices under accelerated-life tests. With numerous examples and case studies in which the proposed methods are applied, this book includes detailed R codes in selected chapters to help readers implement their own codes and use them in the proposed examples and in their own research on one-shot devicetesting data. Researchers, mathematicians, engineers, and students working on acceleratedlife testing data analysis and robust methodologies will find this to be a welcome resource.

    • Mathematical Methods in Medical and Biological Sciences

      • 1st Edition
      • November 5, 2024
      • Harendra Singh + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 8 1 4 2
      • eBook
        9 7 8 0 4 4 3 2 8 8 1 5 9
      Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in the medical and biological sciences. The book presents several real-life medical and biological models, such as infectious and non-infectious diseases that can be modeled mathematically to accomplish　profound research in virtual environments when the cost of laboratory expenses is relatively high. It focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits.In addition, the book provides leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection developments, cancer developments, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives.

    • Visualizing More Quaternions

      • 1st Edition
      • July 1, 2024
      • Andrew J. Hanson
      • English
      • Hardback
        9 7 8 0 3 2 3 9 9 2 0 2 2
      • eBook
        9 7 8 0 3 2 3 9 9 3 9 0 6
      Visualizing More Quaternions is a sequel to Dr. Andrew J. Hanson’s first book, Visualizing Quaternions, which appeared in 2006. This new volume develops and extends concepts that have attracted the author’s attention in the intervening 18 years, providing new insights into existing scholarship, and detailing results from Dr. Hanson’s own published and unpublished investigations relating to quaternion applications. Among the topics covered are the introduction of new approaches to depicting quaternions and their properties, applications of quaternion methods to cloud matching, including both orthographic and perspective projection problems, and orientation feature analysis for proteomics and bioinformatics. The quaternion adjugate variables are introduced to embody the nontrivial quaternion topology on the three-sphere and incorporate it into machine learning tasks. Other subjects include quaternion applications to a wide variety of problems in physics, including quantum computing, complexified quaternions in special relativity, and a detailed study of the Kleinian “ADE”discrete groups of the ordinary two-sphere. Quaternion geometry is also incorporated into the isometric embedding of the Eguchi–Hanson gravitational instanton corresponding to the k = 1 Kleinian cyclic group. Visualizing More Quaternions endeavors to explore novel ways of thinking about challenging problems that are relevant to a broad audience involved in a wide variety of scientific disciplines.

    • Advanced Calculus for Mathematical Modeling in Engineering and Physics

      • 1st Edition
      • June 14, 2024
      • David Stapleton
      • English
      • Paperback
        9 7 8 0 4 4 3 2 2 2 8 9 4
      • eBook
        9 7 8 0 4 4 3 2 2 2 8 8 7
      Advanced Calculus for Mathematical Modeling in Engineering and Physics: With Discrete and Numerical Analogies introduces the principles and methods of advanced calculus for mathematical modeling through a balance of theory and application using a state space approach with elementary functional analysis. This framework facilitates a deeper understanding of the nature of mathematical models, and of the behavior of their solutions. The work provides a variety of advanced calculus models for mathematical, physical science, and engineering audiences, with discussions on how calculus-based models and their discrete analogies are generated. This valuable textbook offers scientific computations driven by Octave/MATLAB script.