We provide a unified strategy to show that solutions of dynamic programming principles associated to the p-Laplacian converge to the solution of the corresponding Dirichlet problem. Our approach includes all previously known cases for continuous and discrete dynamic programming principles, provides new results, and gives a convergence proof free of probability arguments.peerReviewe
In this paper, we prove some common fixed point theorems for compatible mappings of type (P). As app...
In recent papers we have Indicated the applicability of the technique of successive approximations t...
Dynamic programming is a mathematical technique for solving certain types of sequential decision pro...
This paper to appear in "Handbook of Combinatorics" (eds. R. Graham, M. Grotschel, and L. Lovasz), N...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
Abstract: The p-Laplacian dynamic equations with the nonlinear bound-ary conditions are discussed. B...
AbstractWe obtain the dynamic programming equations for discrete Goursat systems, we prove that they...
We prove a new asymptotic mean value formula for the p-Laplace operator, D(p)u = div(vertical bar de...
The numerical solution of the homogeneous Dirichlet problem for the p-Laplacian is considered. We pr...
Thesis. Karmarkar\u27s algorithm to solve linear programs has renewed interest in interior point met...
In this paper, the author studies boundary-value problems for p-Laplacian functional dynamic equa...
1. The basic problem and its solution in the deterministic case à 1.1. General deterministic case Dy...
We introduce a class of algorithms, called Trajectory Following Dynamic Programming (TFDP) algorithm...
AbstractWe continue the study of the convergence of dynamic iteration methods by applying them to li...
The dynamic programming argument leads to various partial differential equations in finite or in inf...
In this paper, we prove some common fixed point theorems for compatible mappings of type (P). As app...
In recent papers we have Indicated the applicability of the technique of successive approximations t...
Dynamic programming is a mathematical technique for solving certain types of sequential decision pro...
This paper to appear in "Handbook of Combinatorics" (eds. R. Graham, M. Grotschel, and L. Lovasz), N...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
Abstract: The p-Laplacian dynamic equations with the nonlinear bound-ary conditions are discussed. B...
AbstractWe obtain the dynamic programming equations for discrete Goursat systems, we prove that they...
We prove a new asymptotic mean value formula for the p-Laplace operator, D(p)u = div(vertical bar de...
The numerical solution of the homogeneous Dirichlet problem for the p-Laplacian is considered. We pr...
Thesis. Karmarkar\u27s algorithm to solve linear programs has renewed interest in interior point met...
In this paper, the author studies boundary-value problems for p-Laplacian functional dynamic equa...
1. The basic problem and its solution in the deterministic case à 1.1. General deterministic case Dy...
We introduce a class of algorithms, called Trajectory Following Dynamic Programming (TFDP) algorithm...
AbstractWe continue the study of the convergence of dynamic iteration methods by applying them to li...
The dynamic programming argument leads to various partial differential equations in finite or in inf...
In this paper, we prove some common fixed point theorems for compatible mappings of type (P). As app...
In recent papers we have Indicated the applicability of the technique of successive approximations t...
Dynamic programming is a mathematical technique for solving certain types of sequential decision pro...