unconstrained tool, gradient and dense Hessian
[G,H] = ugrdh(X)
real vector, variables of the problem
real vector, gradient of the objective function
real full matrix, Hessain of the objective function
ugrdh evaluates the gradient vector in G and the Hessian matrix in H of the objective function of the problem decoded into OUTSDIF.d at the point X, in the case where the only possible constraints are bound constraints. This Hessian matrix is stored as a full matrix.
Bruno Durand, INRIA
Serge Steer, INRIA
Based on CUTEr authored by
Nicholas I.M. Gould - n.gould@rl.ac.uk - RAL
Dominique Orban - orban@ece.northwestern.edu - Northwestern
Philippe L. Toint - Philippe.Toint@fundp.ac.be - FUNDP
see http://hsl.rl.ac.uk/cuter-www