Stochastic numerics for mathematical physics

"This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. The new topics, in particular, include mean-square and weak approximations in the case of nonglobally Lipschitz coefficients of Stochast...

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Main Author: Milʹshteĭn, G. N.
Other Authors: Tretyakov, Michael V.,, SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2021.
Physical Description: 1 online resource (xxv, 736 pages) : illustrations.
Edition: Second edition.
Series: Scientific computation.
Subjects:

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