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Dynamic programming

Known as: Dynamic optimization, Dynamic programming/Implementations and Examples, DP 
In mathematics, management science, economics, computer science, and bioinformatics, dynamic programming (also known as dynamic optimization) is a… 
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Related topics

Related topics

50 relations
Algorithm designAnytime algorithmBLATBackpropagation

Broader (2)

Mathematical optimizationSystems engineering

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2006
Highly Cited
2006
Relaxing dynamic programming
The idea of dynamic programming is general and very simple, but the "curse of dimensionality" is often prohibitive and restricts… 
Highly Cited
2005
Highly Cited
2005
Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming
The potential for reduced fuel consumption of hybrid electric vehicles by the use of predictive powertrain control was assessed… 
Highly Cited
2005
Highly Cited
2005
Finding optimal Bayesian networks by dynamic programming
Finding the Bayesian network that maximizes a score function is known as structure learning or structure discovery. Most… 
Highly Cited
2002
Highly Cited
2002
Performance analysis of a dynamic programming track before detect algorithm
We analyze a dynamic programming (DP)-based track before detect (TBD) algorithm. By using extreme value theory we obtain explicit… 
Highly Cited
1996
Highly Cited
1996
Constrained Discounted Dynamic Programming
This paper deals with constrained optimization of Markov Decision Processes with a countable state space, compact action sets… 
Highly Cited
1995
Highly Cited
1995
Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours
The problem of segmenting an image into separate regions and tracking them over time is one of the most significant problems in… 
Highly Cited
1994
Highly Cited
1994
The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpol
Over the past decade, a substantial literature on the estimation of discrete choice dynamic programming (DC-DP) models of… 
Highly Cited
1994
Highly Cited
1994
Genetic algorithms compared to other techniques for pipe optimization
The genetic algorithm technique is a relatively new optimization technique. In this paper we present a methodology for optimizing… 
Highly Cited
1977
Highly Cited
1977
Dynamic Programming and Stochastic Control
What do you do to start reading dynamic programming and stochastic control? Searching the book that you love to read first or… 
Highly Cited
1975
Highly Cited
1975
Convergence of discretization procedures in dynamic programming
The computational solution of discrete-time stochastic optimal control problems by dynamic programming requires, in most cases… 
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