Folding domain functions (FDF): a random variable transformation technique for the non-invertible case, with applications to RDEs
DOI10.1016/j.cnsns.2024.107948arXiv2308.03455OpenAlexW4392663566MaRDI QIDQ6131362
Fabrizio Masullo, Josep Bonet Avalos, Fabio Zanolin
Publication date: 5 April 2024
Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2308.03455
ordinary differential equationsapplicationsdistribution functiondensity functionnumerical simulationsrandom differential equationsrandom variable transformationnon-invertible random transformation
Probability distributions: general theory (60E05) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Ordinary differential equations and systems with randomness (34F05) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
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