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Explicit linear kernels via dynamic programming [PDF]
, 2014 Several algorithmic meta-theorems on kernelization have appeared in the last years, starting with the result of Bodlaender et al. [FOCS 2009] on graphs of bounded genus, then generalized by Fomin et al.
Garnero, Valentin +3 more
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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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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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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 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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Research on gear decision method of commercial vehicle based on predictive road information
Advances in Mechanical Engineering, 2022 As an essential part of the transportation industry, it is necessary to reduce the fuel consumption of commercial vehicles from the perspective of the environment and economy.
Binyu Wang +3 more
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DISCRETE DYNAMIC PROGRAMMING [PDF]
The Annals of Mathematical Statistics, 1962 We consider a system with a finite number $S$ of states $s$, labeled by the integers $1, 2, \cdots, S$. Periodically, say once a day, we observe the current state of the system, and then choose an action $a$ from a finite set $A$ of possible actions. As a joint result of the current state $s$ and the chosen action $a$, two things happen: (1) we receive
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