Deterministic control of SDEs with stochastic drift and multiplicative noise: a variational approach
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Publication:2701088
DOI10.1007/s00245-023-09978-0OpenAlexW3206613402MaRDI QIDQ2701088
Giuseppe D'Onofrio, Giacomo Ascione
Publication date: 27 April 2023
Published in: Applied Mathematics and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2110.04010
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Existence of optimal solutions to problems involving randomness (49J55)
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Cites Work
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- A stochastic maximum principle with dissipativity conditions
- First and second order necessary conditions for stochastic optimal control problems
- A maximum principle for SDEs of mean-field type
- Adapted solution of a backward stochastic differential equation
- On some recent aspects of stochastic control and their applications
- Applied functional analysis. Functional analysis, Sobolev spaces and elliptic differential equations
- Diffusion approximation of the neuronal model with synaptic reversal potentials
- Deterministic control of stochastic reaction-diffusion equations
- A maximum principle for a stochastic control problem with multiple random terminal times
- Detecting the presence of a random drift in Brownian motion
- An optimal Gauss-Markov approximation for a process with stochastic drift and applications
- On the relation between ordinary and stochastic differential equations
- Stochastic simulation: Algorithms and analysis
- Stochastic-Process Limits
- Stochastic Maximum Principle for Optimal Control of a Class of Nonlinear SPDEs with Dissipative Drift
- A General Stochastic Maximum Principle for Optimal Control Problems
- Optimal control of diffusion processes and hamilton–jacobi–bellman equations part 2 : viscosity solutions and uniqueness
- Dynamic programming and stochastic control processes
- A Deterministic Approach To Stochastic Optimal Control With Application To Anticipative Control
- The Numerical Solution of Integral Equations of the Second Kind
- On two diffusion neuronal models with multiplicative noise: The mean first-passage time properties
- Stochastic Integrate and Fire Models: A Review on Mathematical Methods and Their Applications
- Randomized dynamic programming principle and Feynman-Kac representation for optimal control of McKean-Vlasov dynamics
- Network of interacting neurons with random synaptic weights
- Function Spaces
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