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Data-Driven Computational Methods - John Harlim

englanti
2019-09-11
137,42 € 183,22 €

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Toimitus 17-23 arkipäivässä

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Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic processes, functional analysis, numerical analysis, and differential geometry. It describes two classes of computatio ... Täydellinen kuvaus

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Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic processes, functional analysis, numerical analysis, and differential geometry. It describes two classes of computational methods to leverage data for modeling dynamical systems. The first is concerned with data fitting algorithms to estimate parameters in parametric models that are postulated on the basis of physical or dynamical laws. The second is on operator estimation, which uses the data to nonparametrically approximate the operator generated by the transition function of the underlying dynamical systems. This self-contained book is suitable for graduate studies in applied mathematics, statistics, and engineering. Carefully chosen elementary examples with supplementary MATLAB® codes and appendices covering the relevant prerequisite materials are provided, making it suitable for self-study.

Lisätietoja

Kirjoittaja John Harlim
Julkaisija Cambridge University Press
Julkaisuvuosi 2019
Kannen tyyppi Kovakantinen
EAN 9781108472470
Kirjoita oma arvostelusi
Arvostelet: Data-Driven Computational Methods
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137,42 € 183,22 €