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Comparison of geometric integrator methods for Hamilton systems

dc.contributor.advisor Tanoğlu, Gamze en
dc.contributor.author İneci, Pınar
dc.date.accessioned 2023-11-13T09:38:32Z
dc.date.available 2023-11-13T09:38:32Z
dc.date.issued 2009 en
dc.description Thesis (Master)--Izmir Institute of Technology, Mathematics, Izmir, 2009 en
dc.description Includes bibliographical references (leaves: 79) en
dc.description Text in English; Abstract: Turkish and English en
dc.description xii, 115leaves en
dc.description.abstract Geometric numerical integration is relatively new area of numerical analysis The aim of a series numerical methods is to preserve some geometric properties of the flow of a differential equation such as symplecticity or reversibility In this thesis, we illustrate the effectiveness of geometric integration methods. For this purpose symplectic Euler method, adjoint of symplectic Euler method, midpoint rule, Störmer-Verlet method and higher order methods obtained by composition of midpoint or Störmer-Verlet method are considered as geometric integration methods. Whereas explicit Euler, implicit Euler, trapezoidal rule, classic Runge-Kutta methods are chosen as non-geometric integration methods. Both geometric and non-geometric integration methods are applied to the Kepler problem which has three conserved quantities: energy, angular momentum and the Runge-Lenz vector, in order to determine which those quantities are preserved better by these methods. en
dc.identifier.uri http://standard-demo.gcris.com/handle/123456789/4905
dc.language.iso en en_US
dc.publisher Izmir Institute of Technology en
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject.lcc QA614.83 .I429 2009 en
dc.subject.lcsh Hamiltonian systems en
dc.subject.lcsh Numerical integration en
dc.subject.lcsh Geometric measure theory en
dc.title Comparison of geometric integrator methods for Hamilton systems en_US
dc.type Master Thesis en_US
dspace.entity.type Publication
gdc.author.institutional İneci, Pınar
gdc.description.department Computer Engineering en_US
gdc.description.publicationcategory Tez en_US

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