Numerical experiments on quadratically convergent algorithms for function minimization

dc.contributor.advisorMiele, Angelo
dc.creatorLevy, Alejandro Velasco
dc.date.accessioned2016-04-21T12:01:32Z
dc.date.available2016-04-21T12:01:32Z
dc.date.issued1970
dc.description.abstractThe nine quadratically convergent algorithms for function minimization appearing in Ref. 1 are tested through numerical examples. Both a quadratic function and a nonquadratic function are investigated. For the quadratic function, the results show that, if high-precision arithmetic together with high accuracy in the one-dimensional search is employed, all the algorithms behave identically: they all produce the same sequence of points and they all lead to the minimal point in the same number of iterations (this number is equal at most to the number of variables). For the nonquadratic function, the results show that some of the algorithms behave identically and, therefore, any one of them can be considered to be representative of the entire class. The effect of different restarting conditions on the convergence characteristics of the algorithms is studied. Proper restarting conditions for faster convergence are given.
dc.format.digitalOriginreformatted digitalen_US
dc.format.extent22 ppen_US
dc.identifier.callnoThesis M.E. 1970 LEVYen_US
dc.identifier.citationLevy, Alejandro Velasco. "Numerical experiments on quadratically convergent algorithms for function minimization." (1970) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/89126">https://hdl.handle.net/1911/89126</a>.
dc.identifier.digitalRICE0163en_US
dc.identifier.urihttps://hdl.handle.net/1911/89126
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.titleNumerical experiments on quadratically convergent algorithms for function minimization
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
RICE0163.pdf
Size:
510.27 KB
Format:
Adobe Portable Document Format