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  • Mathematical Principles of Black Holes and Dark Matter

    The book fully utilizes the unique characteristics of the Milky Way: boundedness, stability, and uniform asymptotic convergence of motion. It fully uses the limit cycle theory of nonlinear dynamical systems to construct an analytic mathematical model of the Milky Way. It derives the classification of black holes, the mathematical principles of black hole formation, the analytic equilibrium ... Read more

    $39.99 USD or Free with Kobo Plus

  • Chaos in Complex Dynamical System: Theory and Application

    Series series Mathematics and Statistics (R0)
    This book presents the latest international research achievements in complex chaotic systems, establishing itself as an reference with high value in nonlinear dynamics and chaos theory. The book systematically explores dynamical behaviors of complex chaotic systems through control methods and engineering technologies, with particular emphasis on chaos synchronization and its revolutionary ... Read more

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  • Numerical Methods in Contact Mechanics

    Computational contact mechanics is a broad topic which brings together algorithmic, geometrical, optimization and numerical aspects for a robust, fast and accurate treatment of contact problems.This book covers all the basic ingredients of contact and computational contact mechanics: from efficient contact detection algorithms and classical optimization methods to new developments in contact ... Read more

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  • Finite Element Method

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  • The Finite Element Method in Electromagnetics

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    Series series IEEE Press
    A new edition of the leading textbook on the finite element method, incorporating major advancements and further applications in the field of electromagneticsThe finite element method (FEM) is a powerful simulation technique used to solve boundary-value problems in a variety of engineering circumstances. It has been widely used for analysis of electromagnetic fields in antennas, radar scattering, ... Read more

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  • The Finite Element Method: Theory, Implementation, and Applications

    Series series Mathematics and Statistics (R0)
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  • Neural-Based Orthogonal Data Fitting

    The EXIN Neural Networks

    Series Book 66 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
    The presentation of a novel theory in orthogonal regressionThe literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem.The book ... Read more

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  • Manifold Learning Theory and Applications

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    Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread ... Read more

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  • Essentials of Computational Electromagnetics

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    Essentials of Computational Electromagnetics provides an in-depth introduction of the three main full-wave numerical methods in computational electromagnetics (CEM); namely, the method of moment (MoM), the finite element method (FEM), and the finite-difference time-domain (FDTD) method. Numerous monographs can be found addressing one of the above three methods. However, few give a broad general ... Read more

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  • Grassmannian Geometry of Scattering Amplitudes

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  • Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications

    In Honor of Professor Raytcho Lazarov's 40 Years of Research in Computational Methods and Applied Mathematics

    Series series Springer Nature Proceedings excluding Computer Science
    One of the current main challenges in the area of scientific computing is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational mathematics and its applications, with a focus on modern algorithms which are at the heart of accurate ... Read more

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