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Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
Quasi-Newton techniques approximate the Newton step by estimating the Hessian using the so-called secant equations.
Optimization and Control Numerical Analysis Numerical Analysis
Smoothed analysis of the low-rank approach for smooth semidefinite programs
In order to overcome scalability issues, Burer and Monteiro proposed a factorized approach based on optimizing over a matrix Y of size $n$ by $k$ such that $X = YY^*$ is the SDP variable.
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