solves the linear complementarity problem

solves the linear programming problem

performs nonlinear optimization by conjugate gradient method

performs nonlinear optimization by double-dogleg method

approximates derivatives by finite-differences method

computes feasible points subject to constraints

computes hybrid quasi-Newton least squares

computes Levenberg-Marquardt least squares

performs nonlinear optimization by Nelder-Mead simplex method

performs nonlinear optimization by Newton-Raphson method

performs nonlinear optimization by Newton-Raphson ridge method

performs nonlinear optimization by quasi-Newton method

performs nonlinear optimization by quadratic method

performs nonlinear optimization by trust-region method

lists the nonlinear optimization and related subroutines in SAS/IML software