Repository landing page

We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
oaioai:pure.unamur.be:openaire_cris_publications/6315b723-f5f2-4320-aca1-ea6039f7ea0b

How much do approximate derivatives hurt filter methods?

Authors
Publication date
1 July 2009
Publisher
Doi

    Abstract

    In this paper, we examine the influence of approximate first and/or second derivatives on the filter-trust-region algorithm designed for solving unconstrained nonlinear optimization problems and proposed by Gould, Sainvitu and Toint in [12]. Numerical experiments carried out on small-scaled unconstrained problems from the CUTEr collection describe the effect of the use of approximate derivatives on the robustness and the efficiency of the filter-trust-region method

    Similar works

    Full text

    thumbnail-image

    Repository of the University of Namur

    redirect
    oaioai:pure.unamur.be:openaire_cr...
    Last time updated on 23/06/2020

    This paper was published in Repository of the University of Namur.

    Having an issue?

    Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.