Separable Variable Metric Updates For Large Scale Optimization


This paper presents a new minimization method based on the idea of separable updating of the Hessian matrix of the Variable Metric in the case where the objective function can be decomposed in to a sum of functions. Global convergence of the new method is established.Experimental results, indicate that the new proposed method was efficient than the standard separable BFGS method.