We present an iterative algorithm for computing values of optimal stopping problems for one-dimensional diffusions on finite time intervals. The method is based on a time discretisation of the initial model and a construction of discretised analogues of the associ-ated integral equation for the value function. The proposed iterative procedure converges in a finite number of steps and delivers in each step a lower or an upper bound for the discretised value function on the whole time interval. We also give remarks on applica-tions of the method for solving the integral equations related to several optimal stopping problems.
AbstractLetB=(Bt)t≥0be a Brownian motion started atx∈R. Given a stopping time τ forBand a real value...
Abstract The issue of making a decision several times and thereby earning a reward is the focus of t...
We present a solution to some discounted optimal stopping problem for the maximum of a geometric Bro...
A new algorithm for finding value functions of finite horizon optimal stopping problems in one-dimen...
A new algorithm for finding value functions of finite horizon optimal stopping problems in one-dimen...
Abstract. A new approach to the solution of optimal stopping problems for one-dimensional diffusions...
We connect two approaches for solving discounted optimal stopping problems for one-dimensional time-...
For a class of optimal stopping problems, we provide a complete characterization for optimal stoppin...
We consider the problem of optimally stopping a general one-dimensional Ito diffusion X. In particul...
This thesis deals with the explicit solution of optimal stopping problems with infinite time horizon...
Consider a set of discounted optimal stopping problems for a one-parameter family of objective funct...
The present paper deals with an optimal control problem in controlled diffusion processes with stopp...
Consider the optimal stopping problem of a one-dimensional diffusion with posit-ive discount. Based ...
Consider a set of discounted optimal stopping problems for a one-parameter family of objective funct...
International audienceWe consider a one-dimensional diffusion which solves a stochastic differential...
AbstractLetB=(Bt)t≥0be a Brownian motion started atx∈R. Given a stopping time τ forBand a real value...
Abstract The issue of making a decision several times and thereby earning a reward is the focus of t...
We present a solution to some discounted optimal stopping problem for the maximum of a geometric Bro...
A new algorithm for finding value functions of finite horizon optimal stopping problems in one-dimen...
A new algorithm for finding value functions of finite horizon optimal stopping problems in one-dimen...
Abstract. A new approach to the solution of optimal stopping problems for one-dimensional diffusions...
We connect two approaches for solving discounted optimal stopping problems for one-dimensional time-...
For a class of optimal stopping problems, we provide a complete characterization for optimal stoppin...
We consider the problem of optimally stopping a general one-dimensional Ito diffusion X. In particul...
This thesis deals with the explicit solution of optimal stopping problems with infinite time horizon...
Consider a set of discounted optimal stopping problems for a one-parameter family of objective funct...
The present paper deals with an optimal control problem in controlled diffusion processes with stopp...
Consider the optimal stopping problem of a one-dimensional diffusion with posit-ive discount. Based ...
Consider a set of discounted optimal stopping problems for a one-parameter family of objective funct...
International audienceWe consider a one-dimensional diffusion which solves a stochastic differential...
AbstractLetB=(Bt)t≥0be a Brownian motion started atx∈R. Given a stopping time τ forBand a real value...
Abstract The issue of making a decision several times and thereby earning a reward is the focus of t...
We present a solution to some discounted optimal stopping problem for the maximum of a geometric Bro...