Stochastic Numerics for Mathematical Physics

Stochastic Numerics for Mathematical Physics

Milstein, Grigori N.; Tretyakov, Michael V.

Springer Nature Switzerland AG

12/2022

736

Mole

Inglês

9783030820428

15 a 20 dias

1151

Descrição não disponível.
Mean-square Approximation for Stochastic Di?erential Equations.- Weak Approximation for Stochastic Di?erential Equations: Foundations.- Weak Approximation for Stochastic Di?erential Equations: Special Cases.- Numerical Methods for SDEs with Small Noise.- Geometric Integrators and Computing Ergodic Limits.
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Stochastic Differential Equations;SDEs;backward SDEs;computing ergodic limits;geometric integration;nonglobal Lipshitz coefficients;multi-level Monte Carlo methods;variance reduction;stochastic PDEs;stochastic Hamiltonian systems;Langevin equation;nonlinear parabolic equations;Cauchy problem;Strong and Weak Approximation for SDE;mathematical biology;financial mathematics