Dynamic programming in stochastic control of systems with delay
By B. Larssen. 2002
113 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/734fc8ab58cc343bf1181362a0b3f201ad752900
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- B. Larssen
- Nils Henrik Risebro
- Fausto Gozzi
- Carlo Marinelli
- Agnès Sulem
- Bernt Øksendal
- Tusheng Zhang
- Kenneth Hvistendahl Karlsen
In Economics and Econometrics
- Carlo Marinelli
- Fausto Gozzi
- Agnès Sulem
- Bernt Øksendal
- Tusheng Zhang
- Nils Henrik Risebro
- David Nualart
- Fred Espen Benth
In Finance
- B. Larssen
- Carlo Marinelli
- Fausto Gozzi
- Agnès Sulem
- Nils Henrik Risebro
- Bernt Øksendal
- Tusheng Zhang
- David Nualart
Citations in the corpus
- Optimal control of stochastic delay equations and time-advanced backward stochastic differential equations (2011, background): “There are some papers dealing with this subject in the stochastic Brownian case: we refer to [11, 7, 13, 14, 16].”
- When Are HJB-Equations in Stochastic Control of Delay Systems Finite Dimensional? (2003, background): “From [11] we know that the value function satisfies the value function satisfies the dynamic programming principle: Here, X sˆ is the map X sˆ :[− δ ,0]→R defined by X sˆ ( τ )= X ( sˆ + τ ).”
- Stochastic optimal control of delay equations arising in advertising models (2004, methodology): “Other approaches to optimal control problems for systems described by SDDEs without infinite dimensional reformulation have been proposed in the literature: for instance, see Elsanosi [6] and Larssen [24] for a more direct application of the dynamic programming principle without appealing to infinit”