A flexible split-step scheme for solving McKean-Vlasov stochastic differential equations
From MaRDI portal
Publication:2141250
DOI10.1016/j.amc.2022.127180OpenAlexW4224982733WikidataQ115361054 ScholiaQ115361054MaRDI QIDQ2141250
Xingyuan Chen, Gonçalo dos Reis
Publication date: 23 May 2022
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2105.09688
Monte Carlo methods (65C05) Numerical solutions to stochastic differential and integral equations (65C30) Stochastic particle methods (65C35)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Clarification and complement to ``Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and Fitzhugh-Nagumo neurons
- Convergence and stability of the semi-tamed Euler scheme for stochastic differential equations with non-Lipschitz continuous coefficients
- Time discretization of FBSDE with polynomial growth drivers and reaction-diffusion PDEs
- Convergence to equilibrium for granular media equations and their Euler schemes
- Stochastic many-particle model for LFP electrodes
- On a strong form of propagation of chaos for McKean-Vlasov equations
- Strong solutions of mean-field stochastic differential equations with irregular drift
- Well-posedness of distribution dependent SDEs with singular drifts
- Distribution dependent stochastic differential equations
- Adaptive Euler-Maruyama method for SDEs with nonglobally Lipschitz drift
- An adaptive Euler-Maruyama scheme for Mckean-Vlasov SDEs with super-linear growth and application to the mean-field Fitzhugh-Nagumo model
- On explicit Milstein-type scheme for McKean-Vlasov stochastic differential equations with super-linear drift coefficient
- Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons
- Freidlin-Wentzell LDP in path space for McKean-Vlasov equations and the functional iterated logarithm law
- From the master equation to mean field game limit theory: a central limit theorem
- Large deviations and exit-times for reflected McKean-Vlasov equations with self-stabilising terms and superlinear drifts
- STOCHASTIC MEAN-FIELD LIMIT: NON-LIPSCHITZ FORCES AND SWARMING
- Phase transition in a rechargeable lithium battery
- Strong and weak divergence in finite time of Euler's method for stochastic differential equations with non-globally Lipschitz continuous coefficients
- Hybrid PDE solver for data-driven problems and modern branching
- A Cucker--Smale Model with Noise and Delay
- Projected Particle Methods for Solving McKean--Vlasov Stochastic Differential Equations
- Strong Convergence of Euler-Type Methods for Nonlinear Stochastic Differential Equations
- Bias behaviour and antithetic sampling in mean-field particle approximations of SDEs nonlinear in the sense of McKean
- Existence and uniqueness theorems for solutions of McKean–Vlasov stochastic equations
- Simulation of McKean–Vlasov SDEs with super-linear growth
- A Fourier-based Picard-iteration approach for a class of McKean–Vlasov SDEs with Lévy jumps
- Mean Field Limits for Interacting Diffusions with Colored Noise: Phase Transitions and Spectral Numerical Methods
- A CLASS OF MARKOV PROCESSES ASSOCIATED WITH NONLINEAR PARABOLIC EQUATIONS
- A stochastic particle method for the McKean-Vlasov and the Burgers equation
This page was built for publication: A flexible split-step scheme for solving McKean-Vlasov stochastic differential equations