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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/24638
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DC FieldValueLanguage
dc.contributor.advisorTerlaky, Tamas-
dc.contributor.authorHuang, Xin-
dc.date.accessioned2019-07-25T13:51:44Z-
dc.date.available2019-07-25T13:51:44Z-
dc.date.issued2004-06-
dc.identifier.urihttp://hdl.handle.net/11375/24638-
dc.description.abstractThis thesis gives an overall survey of preprocessing and postprocessing techniques in linear optimization (LO) and its implementations in the software package McMaster Interior Point Method (McIPM). We first review the basic concepts and theorems in LO. Then we present all the techniques used in preprocessing and the corresponding operations in postprocessing. Further, we discuss the implementation issues in our software development. Finally we test a series of problems from the Netlib test set and compare our results with state of the art software, such as LIPSOL and CPLEX.en_US
dc.language.isoenen_US
dc.subjectpreprocessingen_US
dc.subjectpostprocessingen_US
dc.subjectlinear optimizationen_US
dc.titlePreprocessing and Postprocessing in Linear Optimizationen_US
dc.typeThesisen_US
dc.contributor.departmentComputing and Softwareen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Science (MS)en_US
Appears in Collections:Digitized Open Access Dissertations and Theses

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