| E02GBF
| -approximation by general linear function subject to linear inequality constraints |
| E04UCF
| Minimum, function of several variables, sequential QP method, nonlinear constraints, using function values and optionally first derivatives (comprehensive) |
| E04UFF
| Minimum, function of several variables, sequential QP method, nonlinear constraints, using function values and optionally first derivatives (reverse communication, comprehensive) |
| E04USF
| Minimum of a sum of squares, nonlinear constraints, sequential QP method, using function values and optionally first derivatives (comprehensive) |
| E04WDF
| Solves the nonlinear programming (NP) problem |
| E05SBF
| Global optimization using particle swarm algorithm (PSO), comprehensive |
| G02DKF
| Estimates and standard errors of parameters of a general linear regression model for given constraints |
| G02GKF
| Estimates and standard errors of parameters of a general linear model for given constraints |