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Isaak, Elena: Solving SODEs with large noise by balanced integration methods. 2018
Inhalt
Introduction
1 Balanced integration methods
1.1 Problem setting and general assumptions
1.2 Transformed Wiener noise
1.3 Hölder continuity of the solution
1.4 A simple balanced method
1.5 Modified solution operator
1.6 Reformulation of the linear integral equation
1.7 Balanced shift noise Euler-type methods
2 Numerical analysis of the balanced shift noise methods
2.1 Stochastic B-consistency and C-stability
2.2 Stochastic B-consistency and C-stability of the BSNE Euler-type method
2.3 Stochastic B-consistency and C-stability of the BSNI Euler-type scheme
3 Nonlinearity in the drift term
3.1 Assumptions and main results
3.2 Solution estimates for nonlinear equations under one-sided Lipschitz conditions
3.3 Reformulation of the nonlinear integral equation
3.4 Stochastic C-stability and B-consistency of the PBSNE method
3.5 Stochastic C-stability and B-consistency of the SSBSNI method
4 Balanced higher order methods
4.1 Projected balanced shift noise Milstein-type method
4.2 The classical balanced Milstein method
4.3 Preliminaries
4.4 C-stability of the projected balanced Milstein method
4.5 B-consistency of the projected balanced Milstein method
5 Numerical results
5.1 Stochastic Hopf equation
5.1.1 PBSNE and SSBSNI Euler-type schemes
5.1.2 PBSNM and PBMM schemes
5.2 Some experiments for the stochastic Lorenz system
A Appendix
A.1 Itô formula
A.2 Stochastic Gronwall lemma
A.3 Higher order estimates for Itô multi-integrals
A.4 Logarithmic norm and its properties