Method of independent multipliers for minimizing unconstrained functions

dc.contributor.advisorMiele, Angelo
dc.creatorCantrell, Joel Wood
dc.date.accessioned2016-04-21T12:01:32Z
dc.date.available2016-04-21T12:01:32Z
dc.date.issued1969
dc.description.abstractA new accelerated gradient method for finding the minimum of a function f(x) whose variables are unconstrained is presented. The new algorithm can be stated where ax is the change in the position vector x, g(x) is the gradient of the function f(x), and a and fi are scalars chosen at each step so as to yield the greatest decrease in the function. The symbol Occ denotes the change in the position vector for the iteration preceding that under consideration. It is shown that, for a quadratic function, the present algorithm reduces to the Fletcher-Reeves algorithm; thus, quadratic convergence is assured. However, for a nonquadratic function, initial convergence of the present method is much faster than that of the Fletcher- Reeves method because of the extra degree of freedom available. For a test problem, the number of iterations was about 40-50% that of the Fletcher-Reeves method and the computing time about 60-75% that of the Fletcher-Reeves method, using comparable search techniques.
dc.description.sponsorshipThis research was supported by the Office of Scientific Research, Office of Aerospace Research, United States Air Force, Grant No. AF-AFOSR-828-67.en_US
dc.format.digitalOriginreformatted digitalen_US
dc.format.extent47 ppen_US
dc.identifier.callnoThesis M.E. 1969 CANTRELLen_US
dc.identifier.citationCantrell, Joel Wood. "Method of independent multipliers for minimizing unconstrained functions." (1969) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/89122">https://hdl.handle.net/1911/89122</a>.
dc.identifier.digitalRICE0159en_US
dc.identifier.urihttps://hdl.handle.net/1911/89122
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.titleMethod of independent multipliers for minimizing unconstrained functions
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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