The CG-BFGS method for unconstrained optimization problems
Abstract
In this paper we present a new search direction known as the CG-BFGS method, which uses the search direction of the conjugate gradient method approach in the quasi-Newton methods. The new algorithm is compared with the quasi-Newton methods in terms of the number of iterations and CPU-time. The Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is used as an updating formula for the approximation of the Hessian for both methods. Our numerical...
Paper Details
Title
The CG-BFGS method for unconstrained optimization problems
Published Date
Jan 1, 2014
Journal
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