Minimal Truncation Error Constants for Runge-Kutta Method for Stochastic Optimal Control Problems

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2018

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Elsevier

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Mathematics
(2000)
The Atılım University Department of Mathematics was founded in 2000 and it offers education in English. The Department offers students the opportunity to obtain a certificate in Mathematical Finance or Cryptography, aside from their undergraduate diploma. Our students may obtain a diploma secondary to their diploma in Mathematics with the Double-Major Program; as well as a certificate in their minor alongside their diploma in Mathematics through the Minor Program. Our graduates may pursue a career in academics at universities, as well as be hired in sectors such as finance, education, banking, and informatics. Our Department has been accredited by the evaluation and accreditation organization FEDEK for a duration of 5 years (until September 30th, 2025), the maximum FEDEK accreditation period achievable. Our Department is globally and nationally among the leading Mathematics departments with a program that suits international standards and a qualified academic staff; even more so for the last five years with our rankings in the field rankings of URAP, THE, USNEWS and WEBOFMETRIC.

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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.

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Yılmaz, Fikriye/0000-0003-0002-9201; OZ BAKAN, HACER/0000-0001-8090-5552; Weber, Gerhard-Wilhelm/0000-0003-0849-7771
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Yılmaz, Fikriye ORCID logo
OZ BAKAN, HACER ORCID logo
Weber, Gerhard-Wilhelm ORCID logo

Keywords

Optimal control, Runge-Kutta method, Stochastic differential equation, Stratonovich-Taylor expansion, Numerical solution, Minimal truncation error

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Volume

331

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196

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207

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https://doi.org/10.1016/j.cam.2017.10.011
 https://hdl.handle.net/20.500.14411/2687

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