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1-12 sur 12 résultats pour « bangti jin »
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  • Machine Learning Solutions for Inverse Problems: Part B

    par Michael Hintermüller, Andreas Hauptmann, Bangti Jin, Carola-Bibiane Schönlieb ...
    Collections Livre 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 ... En savoir plus

    $194.39 CAD

  • Machine Learning Solutions for Inverse Problems: Part A

    par Michael Hintermüller, Andreas Hauptmann, Bangti Jin, Carola-Bibiane Schönlieb ...
    Collections Livre 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 ... En savoir plus

    $203.19 CAD

  • Fractional Differential Equations

    An Approach via Fractional Derivatives

    par Bangti Jin ...
    Collections 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 ... En savoir plus

    $64.09 CAD

  • Numerical Treatment and Analysis of Time-Fractional Evolution Equations

    par Bangti Jin, Zhi Zhou ...
    Collections 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 ... En savoir plus

    $179.99 CAD

  • Inverse Problems: Tikhonov Theory And Algorithms

    par Kazufumi Ito, Bangti Jin ...
    Collections Livre 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 ... En savoir plus

    $59.99 CAD

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  • What Is Mathematics?:An Elementary Approach to Ideas and Methods

    An Elementary Approach to Ideas and Methods

    par Richard Courant, Herbert Robbins, Ian Stewart ...
    For more than two thousand years a familiarity with mathematics has been regarded as an indispensable part of the intellectual equipment of every cultured person. Today, unfortunately, the traditional place of mathematics in education is in grave danger. The teaching and learning of mathematics has degenerated into the realm of rote memorization, the outcome of which leads to satisfactory formal ... En savoir plus

    $24.79 CAD

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

    The Fundamental Mathematics for Data Science and Artificial Intelligence

    par 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 ... En savoir plus

    $10.99 CAD ou Gratuit avec Kobo Plus

  • Mathematical Marvels with Wolfram Mathematica

    par A. Scholtens ...
    This book is the perfect guide for anyone with an increased interest in Wolfram Mathematica, the world's most powerful computational platform. The book is designed for beginners and provides a comprehensive introduction to the key concepts and features of the platform, including variables and assignment statements, functions and recursion, advanced topics such as differentiation and integration, ... En savoir plus

    $13.99 CAD ou Gratuit avec Kobo Plus

  • Advanced Calculus

    An Introduction to Modern Analysis

    par Voxman ...
    Collections series Chapman & Hall/CRC Pure and Applied Mathematics
    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 ... En savoir plus

    $130.99 CAD

  • Machine Learning for Transportation Research and Applications

    par Yinhai Wang, Zhiyong Cui, Ruimin Ke ...
    Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields ... En savoir plus

    $110.99 CAD

  • Complex Analysis with Applications

    par Nakhlé H. Asmar, Loukas Grafakos ...
    Collections series Mathematics and Statistics (R0)
    This textbook is intended for a one semester course in complex analysis for upper level undergraduates in mathematics. Applications, primary motivations for this text, are presented hand-in-hand with theory enabling this text to serve well in courses for students in engineering or applied sciences. The overall aim in designing this text is to accommodate students of different mathematical ... En savoir plus

    $70.49 CAD

  • Explainable Deep Learning AI

    Methods and Challenges

    Modifié par Jenny Benois-Pineau, Romain Bourqui, Dragutin Petkovic, Georges Quenot ...
    Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ... En savoir plus

    $115.99 CAD