Non-linear optimization and large-scale problems
Résumé
This paper recalls some basic concepts of unconstrained optimization
techniques and reviews some useful methods for solving large-scale
problems: conjugate gradient methods without critical line-searches,
limited memory quasi-Newton methods and the partitioned quasi-Newton
method. We shall discuss their efficiency, their convergence properties
and their respective advantages and disadvantages.
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