A Diagonal-Secant Update Technique for Sparse Unconstrained Optimization

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dc.contributor.authorLi, Guangyeen_US
dc.date.accessioned2018-06-18T17:39:37Zen_US
dc.date.available2018-06-18T17:39:37Zen_US
dc.date.issued1992-01en_US
dc.date.noteJanuary 1992en_US
dc.description.abstractThis paper presents a diagonal-secant modification of the successive element correction method, a finite-difference based method, for sparse unconstrained optimization. This new method uses the gradient values more efficiently in forming the approximate Hessian than the successive element correction method. It is shown that the new method has at least the same local convergence rates as the successive element correction method for general problems and that it has better q-convergence and f-convergence rates than the successive element correction method for problems with band structures. The numerical results show that the new method may be competitive with most of the existing methods for some problems.en_US
dc.format.extent17 ppen_US
dc.identifier.citationLi, Guangye. "A Diagonal-Secant Update Technique for Sparse Unconstrained Optimization." (1992) <a href="https://hdl.handle.net/1911/101741">https://hdl.handle.net/1911/101741</a>.en_US
dc.identifier.digitalTR92-01en_US
dc.identifier.urihttps://hdl.handle.net/1911/101741en_US
dc.language.isoengen_US
dc.titleA Diagonal-Secant Update Technique for Sparse Unconstrained Optimizationen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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