Reducible Nonlinear Programming Problems

dc.contributor.authorParks, Teresa Anne
dc.date.accessioned2018-06-18T17:24:31Z
dc.date.available2018-06-18T17:24:31Z
dc.date.issued1985-05
dc.date.noteMay 1985
dc.descriptionThis work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/15927
dc.description.abstractIn this thesis we are concerned with general nonlinear programming problems in which the variables can be naturally separated into two groups. This separation has the property that if the variables in one of the groups are fixed, then it is easy to solve the problem in terms of the unspecified variables. The existing work in nonlinear least squares has been extended to handle inequality constraints and further extended to certain classes of nonlinear programming problems which have special structure.
dc.format.extent56 pp
dc.identifier.citationParks, Teresa Anne. "Reducible Nonlinear Programming Problems." (1985) <a href="https://hdl.handle.net/1911/101585">https://hdl.handle.net/1911/101585</a>.
dc.identifier.digitalTR85-08
dc.identifier.urihttps://hdl.handle.net/1911/101585
dc.language.isoeng
dc.titleReducible Nonlinear Programming Problems
dc.typeTechnical report
dc.type.dcmiText
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