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Two novel numerical estimators are proposed for solving forward-backward stochastic differential equations (FBSDEs) appearing in the Feynman-Kac representation of the value function in stochastic optimal control problems. In contrast to the…

Optimization and Control · Mathematics 2021-10-01 Kelsey P. Hawkins , Ali Pakniyat , Panagiotis Tsiotras

In this paper we employ a "direct method" in order to obtain rank-k solutions of any hyperbolic system of first order quasilinear differential equations in many dimensions. We discuss in detail the necessary and sufficient conditions for…

Mathematical Physics · Physics 2015-06-26 A. M. Grundland , B. Huard

We are interested in stochastic control problems coming from mathematical finance and, in particular, related to model uncertainty, where the uncertainty affects both volatility and intensity. This kind of stochastic control problems is…

Probability · Mathematics 2014-05-15 Sébastien Choukroun , Andrea Cosso

Kinetic descriptions of runaway electrons (RE) are usually based on Fokker-Planck models that determine the probability distribution function (PDF) of RE in 2-dimensional momentum space. Despite of the simplification involved, the…

Plasma Physics · Physics 2017-09-13 Guannan Zhang , Diego del-Castillo-Negrete

We establish a comparison principle for viscosity solutions of a class of nonlinear partial differential equations posed on the space of nonnegative finite measures, thereby extending recent results for PDEs defined on the Wasserstein space…

Probability · Mathematics 2026-05-05 Ibrahim Ekren , Xihao He , Tianxu Lan , Xiaolu Tan

We introduce stabilized spline collocation schemes for the numerical solution of nonlinear, hyperbolic conservation laws. A nonlinear, residual-based viscosity stabilization is combined with a projection stabilization-inspired linear…

Numerical Analysis · Mathematics 2023-07-18 Ryan M. Aronson , John A. Evans

We establish a version of the Feynman-Kac formula for the multidimensional stochastic heat equation with a multiplicative fractional Brownian sheet. We use the techniques of Malliavin calculus to prove that the process defined by the…

Probability · Mathematics 2010-12-10 Yaozhong Hu , David Nualart , Jian Song

In this paper, we investigate the asymptotic behavior of solutions to the Cauchy problem for the scalar viscous conservation law where the far field states are prescribed. Especially, we deal with the case when the viscosity is of…

Analysis of PDEs · Mathematics 2018-05-01 Akitaka Matsumura , Natsumi Yoshida

In this work, we introduce new second-order schemes for one- and two-dimensional hyperbolic systems of conservation laws. Following an approach recently proposed in [{\sc R. Abgrall}, Commun. Appl. Math. Comput., 5 (2023), pp. 370--402], we…

Numerical Analysis · Mathematics 2025-12-24 Rémi Abgrall , Alina Chertock , Alexander Kurganov , Lorenzo Micalizzi

The study of uncertainty propagation poses a great challenge to design numerical solvers with high fidelity. Based on the stochastic Galerkin formulation, this paper addresses the idea and implementation of the first flux reconstruction…

Computational Physics · Physics 2021-12-14 Tianbai Xiao , Jonas Kusch , Julian Koellermeier , Martin Frank

In this work, we prove existence and uniqueness of a bounded viscosity solution for the Cauchy problem of degenerate parabolic equations with variable exponent coefficients. We construct the solution directly using the stochastic…

Analysis of PDEs · Mathematics 2025-11-13 Mustafa Avci

We consider the Cauchy problem for a stochastic scalar parabolic-hyperbolic equation in any space dimension with nonlocal, nonlinear, and possibly degenerate diffusion terms. The equations are nonlocal because they involve fractional…

Analysis of PDEs · Mathematics 2020-08-10 Neeraj Bhauryal , Ujjwal Koley , Guy Vallet

The present work proposes a well-balanced finite volume-type numerical method for the solution of non-conservative hyperbolic partial differential equations (PDEs) with source terms. The method is characterized, first, by the use of a…

Numerical Analysis · Mathematics 2026-05-06 Chiara Colombo , Caterina Dalmaso , Lucas O. Müller , Annunziato Siviglia

In this paper we study the class of backward doubly stochastic differential equations (BDSDEs, for short) whose terminal value depends on the history of forward diffusion. We first establish a probabilistic representation for the spatial…

Probability · Mathematics 2008-11-12 Auguste Aman

A moving mesh discontinuous Galerkin method is presented for the numerical solution of hyperbolic conservation laws. The method is a combination of the discontinuous Galerkin method and the mesh movement strategy which is based on the…

Numerical Analysis · Mathematics 2020-04-20 Dongmi Luo , Weizhang Huang , Jianxian Qiu

It is well-known since the work of Pardoux and Peng [12] that Backward Stochastic Differential Equations provide probabilistic formulae for the solution of (systems of) second order elliptic and parabolic equations, thus providing an…

Probability · Mathematics 2020-03-10 Etienne Pardoux , Aurel Rascanu

Using a recently introduced representation of the second order adjoint state as the solution of a function-valued backward stochastic partial differential equation (SPDE), we calculate the viscosity super- and subdifferential of the value…

Probability · Mathematics 2024-06-27 Wilhelm Stannat , Lukas Wessels

This paper deals with the numerical solution of conservation laws in the two dimensional case using a novel compact implicit time discretization that enables applications of fast algebraic solvers. We present details for the second order…

Numerical Analysis · Mathematics 2025-12-16 Peter Frolkovic , Dagmar Zakova

The upwind conservation element and solution element (CESE) scheme is an alternative discontinuity-capturing numerical approach to solving hyperbolic conservation laws. To evaluate the numerical properties of this spatiotemporal coupled…

Fluid Dynamics · Physics 2024-10-31 Yazhong Jiang , Lisong Shi , Chih-Yung Wen

Deep Feynman-Kac method was first introduced to solve parabolic partial differential equations(PDE) by Beck et al. (SISC, V.43, 2021), named Deep Splitting method since they trained the Neural Networks step by step in the time direction. In…

Computational Engineering, Finance, and Science · Computer Science 2025-03-21 Xiaotao Zheng , Xingye Yue , Jiyang Shi