International audienceThis paper examines the impulse control of a standard Brownian motion under a long-term average criterion. In contrast with the dynamic programming approach, this paper first imbeds the stochastic control problem into an infinite-dimensional linear program over a space of measures and then reduces the problem to a simpler nonlinear optimization that has a familiar interpretation. One is able to easily identify the optimal cost and a family of optimal impulse control policies
World leading experts give their accounts of the modern mathematical models in the field: Markov Dec...
AbstractIn a previous paper we gave a new, natural extension of the calculus of variations/optimal c...
We consider the problem of optimally tracking a Brownian motion by a sequence of impulse controls, i...
International audienceThis paper examines the impulse control of a standard Brownian motion under a ...
When a manufacturer places repeated orders with a supplier to meet changing production requirements,...
Stochastic control refers to the optimal control of systems subject to randomness. Impulse and singu...
The problem of optimally controlling a standard Brownian motion until a fixed final time is consider...
Convexity conditions are identified under which optimal controls in the class of strict controls exi...
In this thesis we consider undiscounted, infinite time horizon optimal stopping problems with gener...
tAract Consider a storage system, such as an inventory or cash fund, whose content fluctuates as a (...
This paper considers an optimal impulse control problem of dynamical systems generated by a flow. Th...
Abstract. This paper analyzes numerically a long-term average stochastic control problem in-volving ...
This dissertation studies the optimal stochastic impulse control problems with a decision lag, by wh...
Abstract. Optimal stopping of stochastic processes having both absolutely continuous and singular be...
This paper concerns the optimal impulse control of piecewise deterministic Markov processes (PDPs). ...
World leading experts give their accounts of the modern mathematical models in the field: Markov Dec...
AbstractIn a previous paper we gave a new, natural extension of the calculus of variations/optimal c...
We consider the problem of optimally tracking a Brownian motion by a sequence of impulse controls, i...
International audienceThis paper examines the impulse control of a standard Brownian motion under a ...
When a manufacturer places repeated orders with a supplier to meet changing production requirements,...
Stochastic control refers to the optimal control of systems subject to randomness. Impulse and singu...
The problem of optimally controlling a standard Brownian motion until a fixed final time is consider...
Convexity conditions are identified under which optimal controls in the class of strict controls exi...
In this thesis we consider undiscounted, infinite time horizon optimal stopping problems with gener...
tAract Consider a storage system, such as an inventory or cash fund, whose content fluctuates as a (...
This paper considers an optimal impulse control problem of dynamical systems generated by a flow. Th...
Abstract. This paper analyzes numerically a long-term average stochastic control problem in-volving ...
This dissertation studies the optimal stochastic impulse control problems with a decision lag, by wh...
Abstract. Optimal stopping of stochastic processes having both absolutely continuous and singular be...
This paper concerns the optimal impulse control of piecewise deterministic Markov processes (PDPs). ...
World leading experts give their accounts of the modern mathematical models in the field: Markov Dec...
AbstractIn a previous paper we gave a new, natural extension of the calculus of variations/optimal c...
We consider the problem of optimally tracking a Brownian motion by a sequence of impulse controls, i...