AbstractDynamic programming is a general problem-solving technique that has been widely used in various fields such as control theory, operations research, biology and computer science. In many applications dynamic programming problems satisfy additional conditions of convexity, concavity and sparsity. This paper presents a classification of dynamic programming problems and surveys efficient algorithms based on the three conditions
This paper reviews a variety of ways to use trajectory optimization to accelerate dynamic programmin...
This paper studies the dynamic programming principle for general convex stochastic optimization prob...
ABSTRACT. Dynamic stochastic programs are prototypical for optimization problems with an inherent tr...
AbstractDynamic programming is a general problem-solving technique that has been widely used in vari...
The least weight subsequence problem is a special case of the one-dimensional dynamic programming pr...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
Dynamic programming is an essential tool lying at the heart of many problems in the modern theory of...
The idea of dynamic programming is general and very simple, but the "curse of dimensionality" is oft...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...
We consider dynamic programming solutions to a number of different recurrences for sequence comparis...
frobertcmeyerpsteffengtechfakunibielefeldde Abstract Dynamic programming is a classic programming t...
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
Convexity, though extremely important in mathematical programming, has not drawn enough attention in...
Dynamic linear programming (DLP) can be considered as a new stage of linear programming (LP) develop...
This paper deals with approximate value iteration (AVI) algorithms applied to discounted dynamic (DP...
This paper reviews a variety of ways to use trajectory optimization to accelerate dynamic programmin...
This paper studies the dynamic programming principle for general convex stochastic optimization prob...
ABSTRACT. Dynamic stochastic programs are prototypical for optimization problems with an inherent tr...
AbstractDynamic programming is a general problem-solving technique that has been widely used in vari...
The least weight subsequence problem is a special case of the one-dimensional dynamic programming pr...
Dynamic programming is a mathematical technique which provides a systematic procedure for determinin...
Dynamic programming is an essential tool lying at the heart of many problems in the modern theory of...
The idea of dynamic programming is general and very simple, but the "curse of dimensionality" is oft...
We develop a formal model of enumeration problems and define dynamic programming in its setting. Dyn...
We consider dynamic programming solutions to a number of different recurrences for sequence comparis...
frobertcmeyerpsteffengtechfakunibielefeldde Abstract Dynamic programming is a classic programming t...
The fundamental goal, in preparing this thesis, is two-fold. First, the author shows the systematic ...
Convexity, though extremely important in mathematical programming, has not drawn enough attention in...
Dynamic linear programming (DLP) can be considered as a new stage of linear programming (LP) develop...
This paper deals with approximate value iteration (AVI) algorithms applied to discounted dynamic (DP...
This paper reviews a variety of ways to use trajectory optimization to accelerate dynamic programmin...
This paper studies the dynamic programming principle for general convex stochastic optimization prob...
ABSTRACT. Dynamic stochastic programs are prototypical for optimization problems with an inherent tr...