Toward Direct Sparse Updates of Cholesky Factors

dc.contributor.authorDennis, J.E. Jr.en_US
dc.contributor.authorVu, Phuongen_US
dc.date.accessioned2018-06-18T17:23:11Zen_US
dc.date.available2018-06-18T17:23:11Zen_US
dc.date.issued1983-04en_US
dc.date.noteApril 1983en_US
dc.description.abstractA very important problem in numerical optimization is to find a way to update a sparse Hessian approximation so that it will be positive definite under reasonable circumstances. This problem has motivated research, which is yet to show much progress, toward a "sparse BFGS method." In this paper, we suggest a different approach to the problem based on using a sparse Broyden, or Schubert, update directly on the Cholesky factor of the current Hessian approximation to define the next Hessian approximation implicitly in terms of its Cholesky factorization. This approach has the added advantage of being able to cheaply find the Newton step, since no factorization step is required. The difficulty with our approach is in finding a satisfactory secant or quasi-Newton condition to use in the update.en_US
dc.format.extent18 ppen_US
dc.identifier.citationDennis, J.E. Jr. and Vu, Phuong. "Toward Direct Sparse Updates of Cholesky Factors." (1983) <a href="https://hdl.handle.net/1911/101554">https://hdl.handle.net/1911/101554</a>.en_US
dc.identifier.digitalTR83-13en_US
dc.identifier.urihttps://hdl.handle.net/1911/101554en_US
dc.language.isoengen_US
dc.titleToward Direct Sparse Updates of Cholesky Factorsen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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