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Numerical approximation of ordinary differential problemsfrom deterministic to stochastic numerical methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Numerical approximation of ordinary differential problemsby Raffaele D'Ambrosio.
Reminder of title:	from deterministic to stochastic numerical methods /
Author:	D'Ambrosio, Raffaele.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xiv, 385 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Discretization (Mathematics)
Online resource:	https://doi.org/10.1007/978-3-031-31343-1
ISBN:	9783031313431$q(electronic bk.)

Numerical approximation of ordinary differential problemsfrom deterministic to stochastic numerical methods /
D'Ambrosio, Raffaele.

Numerical approximation of ordinary differential problemsfrom deterministic to stochastic numerical methods /[electronic resource] :by Raffaele D'Ambrosio. - Cham :Springer Nature Switzerland :2023. - xiv, 385 p. :ill., digital ;24 cm. - La matematica per il 3+2,v. 1482038-5757 ;. - La matematica per il 3+2 ;v.113..

This book is focused on the numerical discretization of ordinary differential equations (ODEs), under several perspectives. The attention is first conveyed to providing accurate numerical solutions of deterministic problems. Then, the presentation moves to a more modern vision of numerical approximation, oriented to reproducing qualitative properties of the continuous problem along the discretized dynamics over long times. The book finally performs some steps in the direction of stochastic differential equations (SDEs), with the intention of offering useful tools to generalize the techniques introduced for the numerical approximation of ODEs to the stochastic case, as well as of presenting numerical issues natively introduced for SDEs. The book is the result of an intense teaching experience as well as of the research carried out in the last decade by the author. It is both intended for students and instructors: for the students, this book is comprehensive and rather self-contained; for the instructors, there is material for one or more monographic courses on ODEs and related topics. In this respect, the book can be followed in its designed path and includes motivational aspects, historical background, examples and a software programs, implemented in Matlab, that can be useful for the laboratory part of a course on numerical ODEs/SDEs. The book also contains the portraits of several pioneers in the numerical discretization of differential problems, useful to provide a framework to understand their contributes in the presented fields. Last, but not least, rigor joins readability in the book.

ISBN: 9783031313431$q(electronic bk.)

Standard No.: 10.1007/978-3-031-31343-1doiSubjects--Topical Terms:

821250
Discretization (Mathematics)

LC Class. No.: QA372 / .D36 2023

Dewey Class. No.: 515.35

Numerical approximation of ordinary differential problemsfrom deterministic to stochastic numerical methods /
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