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    2. Applied Mathematics

    3. Applied Mathematics – alle Bücher, Seite 4

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    Krishna Garikipati: Data-driven Modelling and Scientific Machine Learning in Continuum Physics, Buch

    Krishna Garikipati
    Data-driven Modelling and Scientific Machine Learning in Continuum Physics

    Interdisciplinary Applied Mathematics -Band 60

    This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science specifically in continuum physics. It develops the foundations and details a num…

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    Jim M. Cushing: Modeling Behavior and Population Dynamics, Buch

    Jim M. Cushing, James L. Hayward, Shandelle M. Henson
    Modeling Behavior and Population Dynamics

    Interdisciplinary Applied Mathematics -Band 57

    This monograph summarizes several decades of collaborations between ecologists and mathematicians, presenting novel applications in biological modeling. The authors are among the first researchers to pion…

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    Frithjof Lutscher: Integrodifference Equations in Spatial Ecology, Buch

    Frithjof Lutscher
    Integrodifference Equations in Spatial Ecology

    Interdisciplinary Applied Mathematics -Band 49

    This book is the first thorough introduction to and comprehensive treatment of the theory and applications of integrodifference equations in spatial ecology. Integrodifference equations are discrete-time …

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    Mark A. Lewis: The Mathematics Behind Biological Invasions, Buch
    -24%

    Mark A. Lewis, Jonathan R. Potts, Sergei V. Petrovskii
    The Mathematics Behind Biological Invasions

    Interdisciplinary Applied Mathematics -Band 44

    This book investigates the mathematical analysis of biological invasions. Unlike purely qualitative treatments of ecology, it draws on mathematical theory and methods, equipping the reader with sharp tool…

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    Pierre Brémaud: An Introduction to Applied Probability, Buch

    Pierre Brémaud
    An Introduction to Applied Probability

    Texts in Applied Mathematics -Band 77

    This book provides the elements of probability and stochastic processes of direct interest to the applied sciences where probabilistic models play an important role, most notably in the information and co…

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    Carmen Chicone: Ordinary Differential Equations with Applications, Buch

    Carmen Chicone
    Ordinary Differential Equations with Applications

    Texts in Applied Mathematics -Band 34

    This book, developed during 20 years of the author teaching differential equations courses at his home university, is designed to serve as a text for a graduate level course focused on the central theory …

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    Onésimo Hernández-Lerma: An Introduction to Optimal Control Theory, Buch

    Onésimo Hernández-Lerma, David González-Sánchez, Saul Mendoza-Palacios, Leonardo R. Laura-Guarachi
    An Introduction to Optimal Control Theory

    Texts in Applied Mathematics -Band 76

    This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete or continuous time parameter. These families include most of the systems studied in m…

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    Vidya Subramanian: Applied Machine Learning for Business, Buch

    Vidya Subramanian
    Applied Machine Learning for Business

    Single volume reference on using various aspects of data science to evaluate, understand, and solve business problems A reference book for anyone in the field of data science, Applied Machine Learning for…

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    EUR 92,19*
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    National Academies of Sciences Engineering and Medicine: Foundational Research Gaps and Future Directions for Digital Twins, Buch

    National Academies of Sciences Engineering and Medicine, Committee on Foundational Research Gaps and Future Directions for Digital Twins, National Academy Of Engineering, Division On Earth And Life Studies
    Foundational Research Gaps and Future Directions for Digital Twins

    Across multiple domains of science, engineering, and medicine, excitement is growing about the potential of digital twins to transform scientific research, industrial practices, and many aspects of daily …

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    Regina Baker: Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference, Buch

    Regina Baker
    Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference

    Explore this indispensable and comprehensive guide to time series analysis for students and practitioners in a wide variety of disciplines Applied Time Series Analysis for the Social Sciences: Specificat…

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    Xiaojuan Liao: Applied Satisfiability, Buch

    Xiaojuan Liao, Miyuki Koshimura
    Applied Satisfiability

    Apply satisfiability to a range of difficult problems The Boolean Satisfiability Problem (SAT) is one of the most famous and widely-studied problems in Boolean logic. Optimization versions of this problem…

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    : Combinatorics and Finite Fields, Buch

    Combinatorics and Finite Fields

    Radon Series on Computational and Applied Mathematics, 23

    Combinatorics and finite fields are of great importance in modern applications such as in the analysis of algorithms, in information and communication theory, and in signal processing and coding theory. T…

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    : Maxwell¿s Equations, Buch

    Maxwell¿s Equations

    Radon Series on Computational and Applied Mathematics, 24

    This volume collects longer articles on the analysis and numerics of Maxwell s equations. The topics include functional analytic and Hilbert space methods, solution theories and asymptotics, electromagnet…

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    : Space-Time Methods, Buch

    Space-Time Methods

    Radon Series on Computational and Applied Mathematics, 25

    This volume provides an introduction to modern space-time discretization methods such as finite and boundary elements and isogeometric analysis for time-dependent initial-boundary value problems of parabo…

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    : Discrepancy Theory, Buch

    Discrepancy Theory

    Radon Series on Computational and Applied Mathematics, 26

    The contributions in this book focus on a variety of topics related to discrepancy theory, comprising Fourier techniques to analyze discrepancy, low discrepancy point sets for quasi-Monte Carlo integratio…

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    : The Radon Transform, Buch

    The Radon Transform

    Radon Series on Computational and Applied Mathematics, 22

    In 1917, Johann Radon published his fundamental work, where he introduced what is now called the Radon transform. Including important contributions by several experts, this book reports on ground-breaking…

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    Yuri A. Kuznetsov: Elements of Applied Bifurcation Theory, Buch

    Yuri A. Kuznetsov
    Elements of Applied Bifurcation Theory

    Applied Mathematical Sciences -Band 112

    This is a book on nonlinear dynamical systems and their bifurcations under parameter variation. It provides a reader with a solid basis in dynamical systems theory, as well as explicit procedures for appl…

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    Andrew Gelman: Active Statistics, Buch

    Andrew Gelman, Aki Vehtari
    Active Statistics

    "Applied regression and causal inference are central to statistics and data science. This book provides a large collection of stories, with hands-on activities, demonstrations, and problems that bring the…

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    Mai Duc Thanh: The Riemann Problem in Continuum Physics, Buch

    Mai Duc Thanh, Philippe G. Lefloch
    The Riemann Problem in Continuum Physics

    Applied Mathematical Sciences -Band 219

    This monograph provides a comprehensive study of the Riemann problem for systems of conservation laws arising in continuum physics. It presents the state-of-the-art on the dynamics of compressible fluids …

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    Eric Chung: Multiscale Model Reduction, Buch

    Eric Chung, Thomas Y. Hou, Yalchin Efendiev
    Multiscale Model Reduction

    Applied Mathematical Sciences -Band 212

    This monograph is devoted to the study of multiscale model reduction methods from the point of view of multiscale finite element methods. Multiscale numerical methods have become popular tools for modeli…

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