Feynman-Kac Representation of Fully Nonlinear PDEs and Applications

Article Properties
Journal Category
Science
Mathematics
Refrences
Title Journal Journal Categories Citations Publication Date
A numerical algorithm for fully nonlinear HJB equations: An approach by control randomization

Monte Carlo Methods and Applications 47 2014
Discrete-time approximation of decoupled Forward–Backward SDE with jumps Stochastic Processes and their Applications
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
86 2008
Adapted solution of a backward stochastic differential equation Systems & Control Letters
  • Technology: Mechanical engineering and machinery
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
1,512 1990
Wellposedness of second order backward SDEs Probability Theory and Related Fields
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
170 2011
10.1137/07069849X SIAM Journal on Control and Optimization
  • Technology: Mechanical engineering and machinery
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
2009
Citations
Title Journal Journal Categories Citations Publication Date
Numerical approximation based on deep convolutional neural network for high‐dimensional fully nonlinear merged PDEs and 2BSDEs

Mathematical Methods in the Applied Sciences
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2024
Time recursive control of stochastic dynamical systems using forward dynamics and applications International Journal of Mechanical Sciences
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
1 2022
Overcoming the curse of dimensionality in the numerical approximation of backward stochastic differential equations

Journal of Numerical Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2022
Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning

Nonlinearity
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
  • Science: Mathematics
36 2021
Deep Splitting Method for Parabolic PDEs SIAM Journal on Scientific Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2021
Citations Analysis
The category Science: Mathematics 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A regression-based numerical scheme for backward stochastic differential equations and was published in 2017. The most recent citation comes from a 2024 study titled Numerical approximation based on deep convolutional neural network for high‐dimensional fully nonlinear merged PDEs and 2BSDEs. This article reached its peak citation in 2022, with 2 citations. It has been cited in 9 different journals. Among related journals, the Mathematical Methods in the Applied Sciences cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year