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  • Advanced Computational and Mathematical Approaches in Applied Differential Equations

    Advanced Computational and Mathematical Approaches in Applied Differential Equations explores cutting-edge techniques and methodologies in solving complex differential equations, a cornerstone of mathematical modeling across science and engineering. The book bridges theory and application, offering advanced computational strategies and innovative mathematical insights to address real-world ... Leer más

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  • Neutron Diffusion

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    This book is designed for a systematic understanding of nuclear diffusion theory along with fuzzy/interval/stochastic uncertainty. This will serve to be a benchmark book for graduate & postgraduate students, teachers, engineers and researchers throughout the globe.In view of the recent developments in nuclear engineering, it is important to study the basic concepts of this field along with the ... Leer más

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  • Dimensionality Reduction in Machine Learning

    Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature ... Leer más

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  • Assistive Robotics

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  • Fuzzy Differential Equations and Applications for Engineers and Scientists

    Differential equations play a vital role in the modeling of physical and engineering problems, such as those in solid and fluid mechanics, viscoelasticity, biology, physics, and many other areas. In general, the parameters, variables and initial conditions within a model are considered as being defined exactly. In reality there may be only vague, imprecise or incomplete information about the ... Leer más

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  • Computation and Modeling for Fractional Order Systems

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  • Mathematical Methods in Dynamical Systems

    The art of applying mathematics to real-world dynamical problems such as structural dynamics, fluid dynamics, wave dynamics, robot dynamics, etc. can be extremely challenging. Various aspects of mathematical modelling that may include deterministic or uncertain (fuzzy, interval, or stochastic) scenarios, along with integer or fractional order, are vital to understanding these dynamical systems. ... Leer más

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  • Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines

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  • New Paradigms in Computational Modeling and Its Applications

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    In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models. New Paradigms in Computational Modeling and Its Applications deals with recent developments ... Leer más

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