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Numerical Approximation of Ordinary Differential Problems: From Deterministic to Stochastic Numerical Methods

Posted By: AvaxGenius
Numerical Approximation of Ordinary Differential Problems: From Deterministic to Stochastic Numerical Methods

Numerical Approximation of Ordinary Differential Problems: From Deterministic to Stochastic Numerical Methods by Raffaele D'Ambrosio
English | PDF EPUB (True) | 2023 | 391 Pages | ISBN : 3031313429 | 32.8 MB

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.

Stochastic Numerics for Mathematical Physics

Posted By: AvaxGenius
Stochastic Numerics for Mathematical Physics

Stochastic Numerics for Mathematical Physics by Grigori N. Milstein
English | PDF | 2004 | 612 Pages | ISBN : 3540211101 | 44 MB

Stochastic differential equations have many applications in the natural sciences. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce solution of multi-dimensional problems for partial differential equations to integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise.