ConceptBroyden-Fletcher-Goldfarb-Shanno
BFGS
A quasi-Newton optimization algorithm that achieves preconditioning by iteratively approximating the inverse Hessian matrix. It is commonly used for unconstrained optimization.
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Oct 20
In bilevel optimization, quasi-Newton methods reduce computational cost by approximating the inverse of the Hessian, with common strategies including BFGS updates or finite-difference approximations.
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