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MODIFIKASI LAGRANGIAN AUGMENTED UNTUK PROGRAM NONLINIER STOKASTIK MULTI-TAHAP

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dc.contributor.author Hasbiyati, Ihda
dc.date.accessioned 2014-05-22T04:34:16Z
dc.date.available 2014-05-22T04:34:16Z
dc.date.issued 2014-05-22
dc.identifier.isbn 978-602-18936-0-9
dc.identifier.other wahyu sari yeni
dc.identifier.uri http://repository.unri.ac.id/xmlui/handle/123456789/6321
dc.description.abstract Multi-stage stochastic programming problems arise in many practical situations, such as production and manpower planning, portfolio selections and so on. This paper describes our efforts to develop a nonlinear programming algorithm for problems characterized by a large sparse set of linear constraints and a significant degree of nonlinearity in the objective function. It has been our experience that many linear programming problems are inordinately large because they are attempting to approximate, by piecewise linearization, what is essentially a nonlinear problem. It also appears that many real-life problems are such that only a small percentage of the variables are involved nonlinearly in the objective function en_US
dc.description.provenance Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2014-05-22T04:34:16Z No. of bitstreams: 1 69 makalah oral.pdf: 356579 bytes, checksum: 76928d52cfe94e98a70ee225829fb2bd (MD5) en
dc.description.provenance Made available in DSpace on 2014-05-22T04:34:16Z (GMT). No. of bitstreams: 1 69 makalah oral.pdf: 356579 bytes, checksum: 76928d52cfe94e98a70ee225829fb2bd (MD5) en
dc.description.sponsorship Seminar UR-UKM ke-7 2012 en_US
dc.language.iso en en_US
dc.subject multi-stage stochastic nonlinear programs en_US
dc.subject projected Lagrange en_US
dc.subject scenario analysis en_US
dc.subject decomposition en_US
dc.title MODIFIKASI LAGRANGIAN AUGMENTED UNTUK PROGRAM NONLINIER STOKASTIK MULTI-TAHAP en_US
dc.type UR-Proceedings en_US


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