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-rw-r--r--macros/qpipopt.sci18
1 files changed, 9 insertions, 9 deletions
diff --git a/macros/qpipopt.sci b/macros/qpipopt.sci
index affd061..6a53693 100644
--- a/macros/qpipopt.sci
+++ b/macros/qpipopt.sci
@@ -22,16 +22,16 @@ function [xopt,fopt,exitflag,output,lambda] = qpipopt (varargin)
// Parameters
// nbVar : a double, number of variables
// nbCon : a double, number of constraints
- // Q : a symmetric matrix of doubles, represents coefficients of quadratic in the quadratic problem.
- // p : a vector of doubles, represents coefficients of linear in the quadratic problem
- // LB : a vector of doubles, contains lower bounds of the variables.
- // UB : a vector of doubles, contains upper bounds of the variables.
- // conMatrix : a matrix of doubles, contains matrix representing the constraint matrix
- // conLB : a vector of doubles, contains lower bounds of the constraints.
- // conUB : a vector of doubles, contains upper bounds of the constraints.
- // x0 : a vector of doubles, contains initial guess of variables.
+ // Q : a symmetric matrix of double, represents coefficients of quadratic in the quadratic problem.
+ // p : a vector of double, represents coefficients of linear in the quadratic problem
+ // LB : a vector of double, contains lower bounds of the variables.
+ // UB : a vector of double, contains upper bounds of the variables.
+ // conMatrix : a matrix of double, contains matrix representing the constraint matrix
+ // conLB : a vector of double, contains lower bounds of the constraints.
+ // conUB : a vector of double, contains upper bounds of the constraints.
+ // x0 : a vector of double, contains initial guess of variables.
// param : a list containing the the parameters to be set.
- // xopt : a vector of doubles, the computed solution of the optimization problem.
+ // xopt : a vector of double, the computed solution of the optimization problem.
// fopt : a double, the function value at x.
// exitflag : Integer identifying the reason the algorithm terminated.
// output : Structure containing information about the optimization. Right now it contains number of iteration.