Symbiosis between linear algebra and optimization(

Abstract

The e ciency and e ectiveness of most optimization algorithms hinges on the numerical linear algebra algorithms that they utilize. E ective linear algebra is crucial to their success, and because of this, optimization applications have motivated fundamental advances in numerical linear algebra. This essay will highlight contributions of numerical linear algebra to optimization, as well as some optimization problems encountered within linear algebra that contribute to a symbiotic relationship. c © 2000 Elsevier Science B.V. All rights reserved.

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Cite this paper

@inproceedings{OLeary2000SymbiosisBL, title={Symbiosis between linear algebra and optimization(}, author={Dianne P. O’Leary}, year={2000} }