Dynamic scaling on the limited memory BFGS method
Updates of the well known LBFGS method are approximately equilibrated. The initial diagonal matrix is modified to equilibrate and to approximate the Hessian. Numerical results indicate that the proposed scaling strategy is very effective.
(b)large scale optimization (i)nonlinear programming limited memory quasi-newton methods column scaling equilibrated matrix