1 Ocak 2020 Dergi makalesi Açık Erişim

Uslu, Hande; Sari, Murat

DataCite XML

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/4765</identifier>
  <creators>
    <creator>
      <creatorName>Uslu, Hande</creatorName>
      <givenName>Hande</givenName>
      <familyName>Uslu</familyName>
      <affiliation>Yildiz Tech Univ, Fac Art &amp; Sci, Appl Math, Istanbul, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Sari, Murat</creatorName>
      <givenName>Murat</givenName>
      <familyName>Sari</familyName>
      <affiliation>Yildiz Tech Univ, Fac Art &amp; Sci, Appl Math, Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Monte Carlo Based Stochastic Approach For The First Order Nonlinear Ode Systems</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/4765</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.5505/pajes.2019.25493</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">After the discovery of the effectiveness of the stochastic methods for solving real life problems, these methods have been applied to a wide range of problems in two types; deterministic problems and stochastic problems. The general opinion takes part in applying these methods to stochastic problems since it is preferable for realistic results. Moreover, those methods can also be used in dealing with deterministic models. This study aims to show how stochastic approaches can be applied to deterministic models. Thus, an algorithm based on the Monte Carlo simulation has been presented for solving some systems of nonlinear differential equations. To discuss the behavior of such models, the population equations have been taken into consideration. The considered approach has been seen to produce more accurate results than numerical techniques. A detailed discussion about the results has also been given in this work.</description>
  </descriptions>
</resource>