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1 - 12 de 12 resultados para “karsten urban”
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  • Partial Differential Equations

    An Introduction to Analytical and Numerical Methods

    de Wolfgang Arendt, Karsten Urban ...
    Traducido por James B. Kennedy ...
    Series series Mathematics and Statistics (R0)
    This textbook introduces the study of partial differential equations using both analytical and numerical methods. By intertwining the two complementary approaches, the authors create an ideal foundation for further study. Motivating examples from the physical sciences, engineering, and economics complete this integrated approach.A showcase of models begins the book, demonstrating how PDEs arise in ... Leer más

    $53.99 USD

  • Model Order Reduction and Applications

    Cetraro, Italy 2021

    de Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban ...
    Series series Mathematics and Statistics (R0)
    This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.Consisting of four contributions presented at the CIME summer school, the book presents several points of ... Leer más

    $58.99 USD

  • Model Reduction of Parametrized Systems

    Edición de Peter Benner, Mario Ohlberger, Anthony Patera, Gianluigi Rozza, Karsten Urban ...
    Series series Mathematics and Statistics (R0)
    The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled ... Leer más

    $134.99 USD

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  • Recent Advances in Algorithmic Differentiation

    Edición de Shaun Forth, Paul Hovland, Eric Phipps, Jean Utke, Andrea Walther ...
    Series series Springer Nature Proceedings excluding Computer Science
    The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of AD theory and its implementation in tools. For all papers the referees, selected from the program committee and the greater community, as well as the ... Leer más

    $89.99 USD

  • Multiple Shooting and Time Domain Decomposition Methods

    MuS-TDD, Heidelberg, May 6-8, 2013

    Edición de Thomas Carraro, Michael Geiger, Stefan Körkel, Rolf Rannacher ...
    Series series Springer Nature Proceedings excluding Computer Science
    This book offers a comprehensive collection of the most advanced numerical techniques for the efficient and effective solution of simulation and optimization problems governed by systems of time-dependent differential equations. The contributions present various approaches to time domain decomposition, focusing on multiple shooting and parareal algorithms.The range of topics covers theoretical ... Leer más

    $89.99 USD

  • Reduced Order Methods for Modeling and Computational Reduction

    Edición de Alfio Quarteroni, Gianluigi Rozza ...
    Series series Mathematics and Statistics (R0)
    This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.Several topics are covered, including: design, ... Leer más

    $89.09 USD

  • Maths in Minutes

    200 Key Concepts Explained In An Instant

    de Paul Glendinning ...
    Series series IN MINUTES
    Both simple and accessible, Maths in Minutes is a visually led introduction to 200 key mathematical ideas. Each concept is quick and easy to remember, described by means of an easy-to-understand picture and a maximum 200-word explanation. Concepts span all of the key areas of mathematics, including Fundamentals of Mathematics, Sets and Numbers, Geometry, Equations, Limits, Functions and Calculus, ... Leer más

    $2.99 USD

  • Math for Deep Learning

    What You Need to Know to Understand Neural Networks

    de Ronald T. Kneusel ...
    Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning.You’ll work through Python examples to learn key deep learning related topics in probability, statistics, ... Leer más

    $29.99 USD

  • The Princeton Companion to Mathematics

    Edición de Timothy Gowers, June Barrow-Green, Imre Leader ...
    This is a one-of-a-kind reference for anyone with a serious interest in mathematics. Edited by Timothy Gowers, a recipient of the Fields Medal, it presents nearly two hundred entries, written especially for this book by some of the world's leading mathematicians, that introduce basic mathematical tools and vocabulary; trace the development of modern mathematics; explain essential terms and ... Leer más

    $79.99 USD

  • Fourier Analysis

    An Introduction

    de Elias M. Stein, Rami Shakarchi ...
    This first volume, a three-part introduction to the subject, is intended for students with a beginning knowledge of mathematical analysis who are motivated to discover the ideas that shape Fourier analysis. It begins with the simple conviction that Fourier arrived at in the early nineteenth century when studying problems in the physical sciences--that an arbitrary function can be written as an ... Leer más

    $79.19 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Handbook of Blind Source Separation

    Independent Component Analysis and Applications

    Edición de Pierre Comon, Christian Jutten ...
    Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and ... Leer más

    $148.99 USD