32 research outputs found

    Hybrid Newton-type method for a class of semismooth equations

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    In this paper, we present a hybrid method for the solution of a class of composite semismooth equations encountered frequently in applications. The method is obtained by combining a generalized finite-difference Newton method to an inexpensive direct search method. We prove that, under standard assumptions, the method is globally convergent with a local rate of convergence which is superlinear or quadratic. We report also several numerical results obtained applying the method to suitable reformulations of well-known nonlinear complementarity problem

    A Superlinearly Convergent Method for a Class of Complementarity Problems with Non-Lipschitzian Functions

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    A new smoothing quasi-Newton method for nonlinear complementarity problems

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    AbstractA new smoothing quasi-Newton method for nonlinear complementarity problems is presented. The method is a generalization of Thomas’ method for smooth nonlinear systems and has similar properties as Broyden's method. Local convergence is analyzed for a strictly complementary solution as well as for a degenerate solution. Presented numerical results demonstrate quite similar behavior of Thomas’ and Broyden's methods

    A regularized projection method for complementarity problems with non-Lipschitzian functions

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    Levenberg-Marquardt Method for the Eigenvalue Complementarity Problem

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    A nonlinear complementarity approach for the national energy modeling system

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    Least Change Secant Update Methods for Nonlinear Complementarity Problem

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    In this work, we introduce a family of Least Change Secant Update Methods for solving Nonlinear Complementarity Problems based on its reformulation as a nonsmooth system using the one-parametric class of nonlinear complementarity functions introduced by Kanzow and Kleinmichel -- We prove local and superlinear convergence for the algorithms -- Some numerical experiments show a good performance of this algorith

    A smoothing Newton method for minimizing a sum of Euclidean norms

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    2000-2001 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Iterativni postupci sa regularizacijom za rešavanje nelinearnih komplementarnih problema

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    U doktorskoj disertaciji razmatrani su iterativni postupci za rešavanje nelinearnih komplementarnih problema (NCP). Problemi ovakvog tipa javljaju se u teoriji optimizacije, inženjerstvu i ekonomiji. Matematički modeli mnogih prirodnih, društvenih i tehničkih procesa svode se takođe na ove probleme. Zbog izuzetno velike zastupljenosti NCP problema, njihovo rešavanje je veoma aktuelno. Među mnogobrojnim numeričkim postupcima koji se koriste u tu svrhu, u ovoj disertaciji posebna pažnja posvećena je generalizovanim postupcima Njutnovog tipa i iterativnim postupcima sa re-gularizacijom matrice jakobijana. Definisani su novi postupci za rešavanje NCP i dokazana je njihova lokalna ili globalna konvergencija. Dobijeni teorijski rezultati testirani su na relevantnim numeričkim primerima.Iterative methods for nonlinear complementarity problems (NCP) are con-sidered in this doctoral dissertation. NCP problems appear in many math-ematical models from economy, engineering and optimization theory. Solv-ing NCP is very atractive in recent years. Among many numerical methods for NCP, we are interested in generalized Newton-type methods and Jaco-bian smoothing methođs. Several new methods for NCP are defined in this dissertation and their local or global convergence is proved. Theoretical results are tested on relevant numerical examples
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