HESSIAN Statement

The NLP Procedure

HESSIAN Statement

HESSIAN variables ;

The HESSIAN statement defines the Hessian matrix G containing the second-order derivatives of the objective function f with respect to x₁, ... ,x_n. For more information on the H]nlpd.

If the DIAHES option is not specified, the HESSIAN statement lists n(n+1)/2 variable names that correspond to the elements $G_{j,k}, j \geq k,$ of the lower triangle of the symmetric Hessian matrix listed by rows. For example, the statements

         min f;
         decvar x1 - x3;
         hessian g1-g6;

correspond to the Hessian matrix

$G = [ G1 & G2 & G4 \ G2 & G3 & G5 \ G4 & G5 & G6 \ ] = [ \partial^2 f / \partia... ...\partial^2 f / \partial x_3 \partial x_2 & \partial^2 f / \partial x^2_3 ] .$

If the DIAHES option is specified, only the n diagonal elements must be listed in the HESSIAN statement. The n rows and columns of the Hessian matrix G must correspond to the order of the n parameter names listed in the DECVAR statement. To specify the values of nonzero derivatives, the variables specified in the HESSIAN statement have to be defined in on the left-hand side of algebraic expressions in the programming statements. For example, consider the Rosenbrock Function,

       proc nlp tech=nrridg;
         min f;
         decvar x1 x2;
         gradient g1 g2;
         hessian h1-h3;

         f1 = 10 * (x2 - x1 * x1);
         f2 = 1 - x1;

         f = .5 * (f1 * f1 + f2 * f2);

         g1 = -200 * x1 * (x2 - x1 * x1) - (1 - x1);
         g2 = 100 * (x2 - x1 * x1);

         h1 = -200 * (x2 - 3 * x1 * x1) + 1;
         h2 = -200 * x1;
         h3 = 100;
       run;

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