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Owning Class: optimization
Requires: MathScript RT Module
xmin = fmin_lp(c, aineq, bineq)
xmin = fmin_lp(c, aineq, bineq, aeq, beq)
xmin = fmin_lp(c, aineq, bineq, aeq, beq, min, max)
[xmin, fval] = fmin_lp(c, aineq, bineq)
[xmin, fval] = fmin_lp(c, aineq, bineq, aeq, beq)
[xmin, fval] = fmin_lp(c, aineq, bineq, aeq, beq, min, max)
Legacy Name: linprog
Uses the Simplex method to compute the minimum of a linear function defined by the following expression: c'*x. LabVIEW constrains the computation based on the inputs that you specify.
Name | Description |
---|---|
c | Specifies the linear function whose minimum you want to compute. c is a real, double-precision vector. |
aineq | Specifies a matrix for the linear inequality constraints according to the following equation: aineq*xmin <= bineq. aineq can be []. aineq is a real, double-precision matrix. |
bineq | Specifies a vector for the linear inequality constraints according to the following equation: aineq*xmin <= bineq. bineq must be [] when aineq is []. bineq is a real, double-precision vector. |
aeq | Specifies a matrix for the linear equality constraints according to the following equation: aeq*xmin = beq. aeq can be []. aeq is a real, double-precision matrix. |
beq | Specifies a vector for the linear equality constraints according to the following equation: aeq*xmin = beq. beq must be [] when aeq is []. beq is a real, double-precision vector. |
min | Specifies the lower bound for the solution vector according to the following equation: min <= x <= max. min can be []. min is a real, double-precision vector. |
max | Specifies the upper bound for the solution vector according to the following equation: min <= x <= max. max can be []. max is a real, double-precision vector. |
Name | Description |
---|---|
xmin | Returns the point at which the linear function has the minimum value. xmin is a real, double-precision vector. |
fval | Returns the value of the linear function evaluated at xmin. fval is a real, double-precision scalar. |
The following table lists the support characteristics of this function.
Supported in the LabVIEW Run-Time Engine | Yes |
Supported on RT targets | Yes |
Suitable for bounded execution times on RT | Not characterized |
C = [320; 800; 700];
AINEQ = [-3, -4, -2; -1, -3, -4; -2, -2, -3];
BINEQ = [-10; -30; -90];
MIN = [0; 0; 0];
MAX = [30; 30; 30];
fmin_lp(C, AINEQ, BINEQ, [], [], MIN, MAX)