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The primal power affine scaling method

dc.contributor.authorSaigal, Romeshen_US
dc.date.accessioned2006-09-11T14:31:54Z
dc.date.available2006-09-11T14:31:54Z
dc.date.issued1996-12en_US
dc.identifier.citationSaigal, Romesh; (1996). "The primal power affine scaling method." Annals of Operations Research 62(1): 375-417. <http://hdl.handle.net/2027.42/44270>en_US
dc.identifier.issn0254-5330en_US
dc.identifier.issn1572-9338en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44270
dc.description.abstractIn this paper, we present a variant of the primal affine scaling method, which we call the primal power affine scaling method. This method is defined by choosing a real r >0.5, and is similar to the power barrier variant of the primal-dual homotopy methods considered by den Hertog, Roos and Terlaky and Sheu and Fang. Here, we analyze the methods for r >1. The analysis for 0.50< r <1 is similar, and can be readily carried out with minor modifications. Under the non-degeneracy assumption, we show that the method converges for any choice of the step size α. To analyze the convergence without the non-degeneracy assumption, we define a power center of a polytope. We use the connection of the computation of the power center by Newton's method and the steps of the method to generalize the 2/3rd result of Tsuchiya and Muramatsu. We show that with a constant step size α such that α/(1-α) 2 r > 2/(2 r -1) and with a variable asymptotic step size α k uniformly bounded away from 2/(2 r +1), the primal sequence converges to the relative interior of the optimal primal face, and the dual sequence converges to the power center of the optimal dual face. We also present an accelerated version of the method. We show that the two-step superlieear convergence rate of the method is 1+ r /( r +1), while the three-step convergence rate is 1+ 3 r /( r +2). Using the measure of Ostrowski, we note thet the three-step method for r =4 is more efficient than the two-step quadratically convergent method, which is the limit of the two-step method as r approaches infinity.en_US
dc.format.extent1557920 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherBaltzer Science Publishers, Baarn/Kluwer Academic Publishers; J.C. Baltzer AG, Science Publishers ; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherTheory of Computationen_US
dc.subject.otherCombinatoricsen_US
dc.subject.otherOperations Research/Decision Theoryen_US
dc.subject.otherLinear Programmingen_US
dc.subject.otherAffine Scaling Methodsen_US
dc.subject.otherInterior Point Methodsen_US
dc.subject.otherPower Barrier Methoden_US
dc.subject.otherPower Centeren_US
dc.subject.otherMerit Functionen_US
dc.subject.otherSuperlinear Convergenceen_US
dc.subject.otherThree-step Quadratic Convergenceen_US
dc.subject.otherEfficient Accelerationen_US
dc.titleThe primal power affine scaling methoden_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Industrial and Operations Engineering, The University of Michigan, 48109-2117, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44270/1/10479_2005_Article_BF02206824.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF02206824en_US
dc.identifier.sourceAnnals of Operations Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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