Minimal Truncation Error Constants for Runge-Kutta Method for Stochastic Optimal Control Problems
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
Green Open Access
No
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No
Abstract
In this work, we obtain strong order-1 conditions with minimal truncation error constants of Runge-Kutta method for the optimal control of stochastic differential equations (SDEs). We match Stratonovich-Taylor expansion of the exact solution with Stratonovich-Taylor expansion of our approximation method that is defined by the Runge-Kutta scheme, term by term, in order to get the strong order-1 conditions. By a conclusion and an outlook to future research, the paper ends. (C) 2017 Elsevier B.V. All rights reserved.
Description
Yılmaz, Fikriye/0000-0003-0002-9201; OZ BAKAN, HACER/0000-0001-8090-5552; Weber, Gerhard-Wilhelm/0000-0003-0849-7771
Keywords
Optimal control, Runge-Kutta method, Stochastic differential equation, Stratonovich-Taylor expansion, Numerical solution, Minimal truncation error, Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations, Numerical optimization and variational techniques, optimal control, Optimal stochastic control, Runge-Kutta method, stochastic differential equation, minimal truncation error, Stratonovich-Taylor expansion, Control/observation systems governed by ordinary differential equations
Turkish CoHE Thesis Center URL
Fields of Science
0101 mathematics, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q

OpenCitations Citation Count
10
Source
Journal of Computational and Applied Mathematics
Volume
331
Issue
Start Page
196
End Page
207
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Citations
CrossRef : 6
Scopus : 11
Captures
Mendeley Readers : 4
SCOPUS™ Citations
11
checked on Jan 29, 2026
Web of Science™ Citations
10
checked on Jan 29, 2026
Page Views
5
checked on Jan 29, 2026
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1.6606665
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7
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