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  • Fractional Differential Equations

    An Approach via Fractional Derivatives

    by Bangti Jin ...
    Series series Mathematics and Statistics (R0)
    This graduate textbook provides a self-contained introduction to modern mathematical theory on fractional differential equations. It addresses both ordinary and partial differential equations with a focus on detailed solution theory, especially regularity theory under realistic assumptions on the problem data. The text includes an extensive bibliography, application-driven modeling, extensive ... Read more

    $64.09 CAD

  • Numerical Treatment and Analysis of Time-Fractional Evolution Equations

    Series series Mathematics and Statistics (R0)
    This book discusses numerical methods for solving time-fractional evolution equations. The approach is based on first discretizing in the spatial variables by the Galerkin finite element method, using piecewise linear trial functions, and then applying suitable time stepping schemes, of the type either convolution quadrature or finite difference. The main concern is on stability and error analysis ... Read more

    $179.39 CAD

  • Machine Learning Solutions for Inverse Problems: Part B

    Series Book 27 - Handbook of Numerical Analysis
    Machine Learning Solutions for Inverse Problems: Part B, Volume 27 in the Handbook of Numerical Analysis, continues the exploration of emerging approaches at the intersection of machine learning and inverse problem theory. This volume presents a collection of chapters addressing a wide range of contemporary topics, including deep image prior methods for computed tomography, data-consistent ... Read more

    $194.39 CAD

  • Machine Learning Solutions for Inverse Problems: Part A

    Series Book 26 - Handbook of Numerical Analysis
    Machine Learning Solutions for Inverse Problems: Part A, Volume 26 in the Handbook of Numerical Analysis, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Data-Driven Approaches for Generalized Lasso Problems, Implicit Regularization of the Deep Inverse Prior via (Inertial) Gradient Flow, Generalized Hardness of ... Read more

    $203.19 CAD

  • Inverse Problems: Tikhonov Theory And Algorithms

    Series Book 22 - Series On Applied Mathematics
    Inverse problems arise in practical applications whenever one needs to deduce unknowns from observables. This monograph is a valuable contribution to the highly topical field of computational inverse problems. Both mathematical theory and numerical algorithms for model-based inverse problems are discussed in detail. The mathematical theory focuses on nonsmooth Tikhonov regularization for linear ... Read more

    $59.39 CAD

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  • Before Machine Learning Volume 1 - Linear Algebra for A.I

    The Fundamental Mathematics for Data Science and Artificial Intelligence

    by Jorge Brasil ...
    Unlock the essentials of linear algebra to build a strong foundation for machine learning. Dive into vectors, matrices, and principal component analysis with expert guidance in "Before Machine Learning Volume 1 - Linear Algebra."Key FeaturesComprehensive introduction to linear algebra for machine learningDetailed exploration of vectors and matricesIn-depth study of principal component analysis ... Read more

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  • Artificial Higher Order Neural Networks for Modeling and Simulation

    Edited by Ming Zhang ...
    With artificial neural network research being one of the new directions for new generation computers, current research suggests that open-box artificial higher order neural networks (HONNs) play an important role in this new direction. Artificial Higher Order Neural Networks for Modeling and Simulation introduces artificial Higher Order Neural Networks (HONNs) to professionals working in the ... Read more

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    Edited by Yingxu Wang ...
    Thought, comprehension, and intelligence are everyday concepts that are so pervasive through the lives of every human being that people scarcely think about them at all. These processes are so complex under the surface, however, that a fully developed scientific discipline is necessary to explore these topics. Developments in Natural Intelligence Research and Knowledge Engineering: Advancing ... Read more

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  • Chaos Synchronization and Cryptography for Secure Communications: Applications for Encryption

    Edited by Santo Banerjee ...
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  • Natural Computing for Simulation and Knowledge Discovery

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    Nature has long provided the inspiration for a variety of scientific discoveries in engineering, biomedicine, and computing, though only recently have these elements of nature been used directly in computational systems. Natural Computing for Simulation and Knowledge Discovery investigates the latest developments in nature-influenced technologies. Within its pages, readers will find an in-depth ... Read more

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  • Multi-Criteria Decision Making for the Management of Complex Systems

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    $183.99 CAD