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Dynamic Programming on Nominal Graphs [PDF]
Electronic Proceedings in Theoretical Computer Science, 2015 Many optimization problems can be naturally represented as (hyper) graphs, where vertices correspond to variables and edges to tasks, whose cost depends on the values of the adjacent variables. Capitalizing on the structure of the graph, suitable dynamic
Nicklas Hoch +2 more
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The Adaptive Dynamic Programming Toolbox [PDF]
Sensors, 2021 The paper develops the adaptive dynamic programming toolbox (ADPT), which is a MATLAB-based software package and computationally solves optimal control problems for continuous-time control-affine systems.
Xiaowei Xing, Dong Eui Chang
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Composing dynamic programming tree-decomposition-based algorithms [PDF]
Discrete Mathematics & Theoretical Computer Science, 2019 Given two integers $\ell$ and $p$ as well as $\ell$ graph classes $\mathcal{H}_1,\ldots,\mathcal{H}_\ell$, the problems $\mathsf{GraphPart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell,p)$, \break $\mathsf{VertPart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell ...
Julien Baste
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IEEE Access, 2020 Energy management strategy is an important factor in determining the fuel economy of hybrid electric vehicles; thus, much research on how to distribute the required power to engines and motors of hybrid vehicles is required.
Heeyun Lee +3 more
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Detecting Non-Overlapping Signals with Dynamic Programming [PDF]
Entropy, 2023 This paper studies the classical problem of detecting the locations of signal occurrences in a one-dimensional noisy measurement. Assuming the signal occurrences do not overlap, we formulate the detection task as a constrained likelihood optimization ...
Mordechai Roth +2 more
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Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition [PDF]
Entropy, 2022 The Bayesian Network (BN) structure learning algorithm based on dynamic programming can obtain global optimal solutions. However, when the sample cannot fully contain the information of the real structure, especially when the sample size is small, the ...
Zhigang Lv +6 more
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Encyclopedia of Machine Learning and Data Mining, 2018 ,
M. Puterman, J. Patrick
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Programming an Interpreter Using Molecular Dynamics [PDF]
Scientific Annals of Computer Science, 2007 PGA (ProGram Algebra) is an algebra of programs which concerns programs in their simplest form: sequences of instructions. Molecular dynamics is a simple model of computation developed in the setting of PGA, which bears on the use of dynamic data ...
J. A. Bergstra, C. A. Middelburg
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Wiley Encyclopedia of Computer Science and Engineering, 2021 Independent scoring of the aligned sections to determine the quality of biological sequence alignments enables recursive definitions of the overall alignment score. This property is not only biologically meaningful but it also provides the opportunity to
Ryuichi Oka, Aizu Wakamatsu
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Modified Dynamic Programming Algorithm and Its Application in Distribution of Power Plant Load [PDF]
E3S Web of Conferences, 2019 Dynamic programming algorithm is the classic method in distribution of plant loads. The traditional calculation method of dynamic programming is easy to make the calculation take too long time.
Wang Wanshan, Wang Peihong, Dong Yihua
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