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Gill-Murray’s method

Gill-Murray s method has the further advantage of making it easy to evaluate a ( ) direction with negative curvature when x is a saddle point... [Pg.113]

In this case, it is necessary to detect a direction with negative curvature to get a direction of function decrease. If E is collected during factorization using Gill-Murray s method, it is possible to get such a direction with the procedure described below. [Pg.113]

The function BuildGradientAndPositiveHessian ensures that the Hessian is positive definite by adequately increasing diagonal elements similarly to Gill-Murray s method (see Section 3.6.1). [Pg.171]

The function BuildGradientAndUpdatePositiveHessian is used when we need the Hessian positive definite. It updates the Hessian with the aforementioned technique to preserve its sparsity and, analogously to BuildGradien-tAndPositiv6H6ssian, it makes the Hessian positive definite by adequately increasing diagonal elements similarly to Gill-Murray s method (see Section 3.6.1). [Pg.449]

The Gill-Murray modified Newton s method uses a Cholesky factorization of the Hessian matrix (Gill and Murray, 1974). The method is described in detail by Scales (1985). [Pg.76]

Gill, P. E. W. Murray M. A. Saunders J. A. Tomlin and M. H. Wright. On Projected Newton Barrier Methods for Linear Programming and an Equivalence to Karmarkar s Projective Method. Math Program 36 183-191 (1986). [Pg.253]


See other pages where Gill-Murray’s method is mentioned: [Pg.113]    [Pg.113]    [Pg.138]    [Pg.49]   
See also in sourсe #XX -- [ Pg.113 , Pg.171 , Pg.449 ]




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