New Results on Superlinear Convergence of Classical Quasi-Newton Methods.
Anton RodomanovYurii NesterovPublished in: Journal of optimization theory and applications (2021)
We present a new theoretical analysis of local superlinear convergence of classical quasi-Newton methods from the convex Broyden class. As a result, we obtain a significant improvement in the currently known estimates of the convergence rates for these methods. In particular, we show that the corresponding rate of the Broyden-Fletcher-Goldfarb-Shanno method depends only on the product of the dimensionality of the problem and the logarithm of its condition number.
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