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  • Machine Learning Solutions for Inverse Problems: Part B

    Series Libro 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 ... Leer más

    $206.99 USD

  • Machine Learning Solutions for Inverse Problems: Part A

    Series Libro 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 ... Leer más

    $206.99 USD

  • Fractional Differential Equations

    An Approach via Fractional Derivatives

    de 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 ... Leer más

    $49.49 USD

  • 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 ... Leer más

    $143.99 USD

  • Inverse Problems: Tikhonov Theory And Algorithms

    Series Libro 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 ... Leer más

    $48.99 USD

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

    The Fundamental Mathematics for Data Science and Artificial Intelligence

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

    Edición de Santo Banerjee ...
    Over the past few decades, there has been numerous research studies conducted involving the synchronization of dynamical systems with several theoretical studies and laboratory experimentations demonstrating the pivotal role for this phenomenon in secure communications. Chaos Synchronization and Cryptography for Secure Communications: Applications for Encryption explores the combination of ... Leer más

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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 ... Leer más

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  • Intelligent Computer Vision and Image Processing: Innovation, Application, and Design

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  • Advanced Calculus

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    Advanced Calculus: An Introduction to Modem Analysis, an advanced undergraduate textbook,provides mathematics majors, as well as students who need mathematics in their field of study,with an introduction to the theory and applications of elementary analysis. The text presents, inan accessible form, a carefully maintained balance between abstract concepts and applied results ofsignificance that ... Leer más

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  • Machine Learning for Transportation Research and Applications

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