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This paper presents an implicit solution formula for the Hamilton-Jacobi partial differential equation (HJ PDE). The formula is derived using the method of characteristics and is shown to coincide with the Hopf and Lax formulas in the case…

Machine Learning · Computer Science 2025-02-03 Yesom Park , Stanley Osher

In this paper, a class of high order numerical schemes is proposed for solving Hamilton-Jacobi (H-J) equations. This work is regarded as an extension of our previous work for nonlinear degenerate parabolic equations, see Christlieb et al.…

Numerical Analysis · Mathematics 2019-01-30 Andrew Christlieb , Wei Guo , Yan Jiang

The aim of this paper is twofold. - In the setting of RCD(K,$\infty$) metric measure spaces, we derive uniform gradient and Laplacian contraction estimates along solutions of the viscous approximation of the Hamilton--Jacobi equation. We…

Probability · Mathematics 2024-09-16 Nicola Gigli , Luca Tamanini , Dario Trevisan

We give a meaning to the Hamilton--Jacobi equation arising from mean-field spin glass models in the viscosity sense, and establish the corresponding well-posedness. Originally defined on the set of monotone probability measures, these…

Analysis of PDEs · Mathematics 2025-06-25 Hong-Bin Chen , Jiaming Xia

This paper is devoted to the study of fully nonlinear stochastic Hamilton-Jacobi (HJ) equations for the optimal stochastic control problem of ordinary differential equations with random coefficients. Under the standard Lipschitz continuity…

Optimization and Control · Mathematics 2019-03-28 Jinniao Qiu , Wenning Wei

We present a simple algorithm to approximate the viscosity solution of Hamilton-Jacobi (HJ) equations by means of an artificial deep neural network. The algorithm uses a stochastic gradient descent-based method to minimize the least square…

Numerical Analysis · Mathematics 2024-12-31 Carlos Esteve-Yagüe , Richard Tsai , Alex Massucco

Viscosity solutions of the Hamilton-Jacobi equation were introduced by Lions and Crandall. For Tonelli Hamiltonians, these solutions are generated by the Lax-Oleinik operator. It is known that this operator converges in the autonomous…

Dynamical Systems · Mathematics 2025-05-16 Skander Charfi

Maximum entropy reinforcement learning (RL) methods have been successfully applied to a range of challenging sequential decision-making and control tasks. However, most of existing techniques are designed for discrete-time systems. As a…

Optimization and Control · Mathematics 2020-09-29 Jeongho Kim , Insoon Yang

We present a new formulation for the computation of solutions of a class of Hamilton Jacobi Bellman (HJB) equations on closed smooth surfaces of co-dimension one. For the class of equations considered in this paper, the viscosity solution…

Numerical Analysis · Mathematics 2020-08-06 Lindsay Martin , Richard Tsai

We consider a scheme of Semi-Lagrangian (SL) type for the numerical solution of Hamilton-Jacobi (HJ) equation on unstructured triangular grids. As it is well known, SL schemes are not well suited for unstructured grids, due to the cost of…

Numerical Analysis · Mathematics 2025-10-07 Simone Cacace , Roberto Ferretti , Giulia Tatafiore

The aim of this article is twofold. First, we develop a unified framework for viscosity solutions to both first-order Hamilton-Jacobi equations and semilinear Hamilton-Jacobi equations driven by the idiosyncratic operator, defined on the…

Analysis of PDEs · Mathematics 2026-01-22 Giacomo Ceccherini Silberstein , Daniela Tonon

This paper extends the considerations of the works [1, 2] regarding curse-of-dimensionality-free numerical approaches to solve certain types of Hamilton-Jacobi equations arising in optimal control problems, differential games and elsewhere.…

Optimization and Control · Mathematics 2019-01-29 Ivan Yegorov , Peter Dower

This paper investigates a Hamilton-Jacobi (HJ) analysis to solve finite-horizon optimal control problems for high-dimensional systems. Although grid-based methods, such as the level-set method [1], numerically solve a general class of HJ…

Systems and Control · Electrical Eng. & Systems 2021-06-28 Donggun Lee , Claire J. Tomlin

We study a one-parameter family of Eikonal Hamilton-Jacobi equations on an embedded network, and prove that there exists a unique critical value for which the corresponding equation admits global solutions, in a suitable viscosity sense.…

Analysis of PDEs · Mathematics 2018-03-16 Antonio Siconolfi , Alfonso Sorrentino

CASL-HJX is a computational framework designed for solving deterministic and stochastic Hamilton-Jacobi equations in two spatial dimensions. It provides a flexible and efficient approach to modeling front propagation problems, optimal…

Optimization and Control · Mathematics 2025-05-21 Faranak Rajabi , Jacob Fingerman , Andrew Wang , Jeff Moehlis , Frederic Gibou

In this paper we study the fully nonlinear stochastic Hamilton-Jacobi-Bellman (HJB) equation for the optimal stochastic control problem of stochastic differential equations with random coefficients. The notion of viscosity solution is…

Optimization and Control · Mathematics 2018-07-16 Jinniao Qiu

In \cite{christlieb2019kernel}, the authors developed a class of high-order numerical schemes for the Hamilton-Jacobi (H-J) equations, which are unconditionally stable, yet take the form of an explicit scheme. This paper extends such…

Numerical Analysis · Mathematics 2020-06-24 Andrew Christlieb , William Sands , Hyoseon Yang

Viscosity solutions of fully nonlinear, local or non local, Hamilton-Jacobi equations with a super-quadratic growth in the gradient variable are proved to be H\"older continuous, with a modulus depending only on the growth of the…

Optimization and Control · Mathematics 2011-10-18 Pierre Cardaliaguet , Catherine Rainer

In this article, a notion of viscosity solutions is introduced for second order path-dependent Hamilton-Jacobi-Bellman (PHJB) equations associated with optimal control problems for path-dependent stochastic evolution equations in Hilbert…

Probability · Mathematics 2020-09-14 Jianjun Zhou

Computing tasks may often be posed as optimization problems. The objective functions for real-world scenarios are often nonconvex and/or nondifferentiable. State-of-the-art methods for solving these problems typically only guarantee…

Optimization and Control · Mathematics 2022-10-11 Howard Heaton , Samy Wu Fung , Stanley Osher
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