Results 21 to 30 of about 10,716,551 (348)
Versatile and declarative dynamic programming using pair algebras
BMC Bioinformatics, 2005 Background Dynamic programming is a widely used programming technique in bioinformatics. In sharp contrast to the simplicity of textbook examples, implementing a dynamic programming algorithm for a novel and non-trivial application is a tedious and error
Giegerich Robert, Steffen Peter
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Stochastic Integer Programming by Dynamic Programming [PDF]
Statistica Neerlandica, 1985 AbstractStochastic integer programming is a suitable tool for modeling hierarchical decision situations with combinatorial features. In continuation of our work on the design and analysis of heuristics for such problems, we now try to find optimal solutions.
B.J. Lageweg +4 more
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Study on Supervised Learning Model for Optimal Histogram Solution [PDF]
Jisuanji kexue, 2023 The dynamic programming binning algorithm is currently used to realize the optimal histogram.However,its time complexity is too high.A supervised learning model based on ProbSparse self-attention is proposed in this paper to learn the dynamic programming
CHEN Yunliang, LIU Hao, ZHU Guishui, HUANG Xiaohui, CHEN Xiaodao, WANG Lizhe
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Linear programming and dynamics [PDF]
Ural mathematical journal, 2015 Summary: In a Hilbert space we consider the linear boundary value problem of optimal control based on the linear dynamics and the terminal linear programming problem at the right end of the time interval. There is provided a saddle-point method to solve it. Convergence of the method is proved.
Antipin, A. S., Khoroshilova, E. V.
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International Journal of Mathematics and Mathematical Sciences, 1988 This paper suggests a method of formulating any nonlinear integer programming problem, with any number of constraints, as an equivalent single constraint problem, thus reducing the dimensionality of the associated dynamic programming problem.
Balasubramanian Ram, A. J. G. Babu
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Journal of Applied Computer Science and Technology, 2020 As beginners, many first-year students have difficulty understanding object-oriented programming material. To help students learn algorithmic and object-oriented programming material researchers have developed visual programming (PV). Visual programming
Kursehi Falgenti
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Dynamic Policy Programming [PDF]
, 2010 Submitted to Journal of Machine Learning ...
Gheshlaghi Azar, M. +2 more
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Benchmark fuel economy for a parallel hybrid electric three-wheeler vehicle (rickshaw)
Advances in Mechanical Engineering, 2018 The core contribution to this work is the development of benchmark fuel economy for a three-wheeler hybrid electric rickshaw and its comparison with heuristics controllers designed with optimal and non-optimal rules.
M Asghar, Aamir I Bhatti, Tahir Izhar
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Dynamic programming in package Mathematica [PDF]
ITM Web of ConferencesDynamic programming (DP) is a powerful algorithmic technique for solving optimization problems by breaking them down into simpler subproblems. This paper presents an implementation of DP algorithms for two classic optimization problems: the Knapsack ...
Stanimirović Predrag S., Stupin Artem
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Dynamic flexible job shop scheduling method based on improved gene expression programming
Measurement + Control, 2021 Dynamic scheduling is one of the most important key technologies in production and flexible job shop is widespread. Therefore, this paper considers a dynamic flexible job shop scheduling problem considering setup time and random job arrival.
Chunjiang Zhang +5 more
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