| E02GBF | L1-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 |