Skip to main content
Search Button
Librairie Kobo Canada Cartes cadeau Aide

Kobo Rakuten

Ma liste d'envies

Panier

Vous profitez des avantages réservés aux VIP !

Article(s) non disponible(s) à la vente
Veuillez vérifier votre panier. Vous pouvez supprimer le ou les articles qui ne sont pas disponibles maintenant ou nous les supprimerons automatiquement au moment du règlement de la commande.
articlesarticle
articlesarticle

Recommandé pour vous

Loading...


1-12 sur 12 résultats pour « karsten urban »
Skip side bar filters

  • Partial Differential Equations

    An Introduction to Analytical and Numerical Methods

    par Wolfgang Arendt, Karsten Urban ...
    Traduit par James B. Kennedy ...
    Collections 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 ... En savoir plus

    $70.99 CAD

  • Model Order Reduction and Applications

    Cetraro, Italy 2021

    par Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban ...
    Collections 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 ... En savoir plus

    $76.89 CAD

  • Model Reduction of Parametrized Systems

    Modifié par Peter Benner, Mario Ohlberger, Anthony Patera, Gianluigi Rozza, Karsten Urban ...
    Collections 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 ... En savoir plus

    $166.99 CAD

Les lecteurs de ces romans ont aussi aimé

  • Recent Advances in Algorithmic Differentiation

    Modifié par Shaun Forth, Paul Hovland, Eric Phipps, Jean Utke, Andrea Walther ...
    Collections 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 ... En savoir plus

    $115.29 CAD

  • Multiple Shooting and Time Domain Decomposition Methods

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

    Modifié par Thomas Carraro, Michael Geiger, Stefan Körkel, Rolf Rannacher ...
    Collections 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 ... En savoir plus

    $115.29 CAD

  • Reduced Order Methods for Modeling and Computational Reduction

    Modifié par Alfio Quarteroni, Gianluigi Rozza ...
    Collections 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, ... En savoir plus

    $115.29 CAD

  • Maths in Minutes

    200 Key Concepts Explained In An Instant

    par Paul Glendinning ...
    Collections 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, ... En savoir plus

    $7.99 CAD

  • Math for Deep Learning

    What You Need to Know to Understand Neural Networks

    par 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, ... En savoir plus

    $42.39 CAD

  • The Princeton Companion to Mathematics

    Modifié par 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 ... En savoir plus

    $120.99 CAD

  • Fourier Analysis

    An Introduction

    par 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 ... En savoir plus

    $120.99 CAD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    par 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, ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

  • Handbook of Blind Source Separation

    Independent Component Analysis and Applications

    Modifié par 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 ... En savoir plus

    $145.99 CAD