From 95d920496cc4b3263c3ea1bc698e6fd5745917bd Mon Sep 17 00:00:00 2001 From: Harpreet Date: Tue, 17 Nov 2015 22:28:26 +0530 Subject: error management updated --- help/en_US/scilab_en_US_help/qpipopt.html | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) (limited to 'help/en_US/scilab_en_US_help/qpipopt.html') diff --git a/help/en_US/scilab_en_US_help/qpipopt.html b/help/en_US/scilab_en_US_help/qpipopt.html index 6659f44..b1c18ac 100644 --- a/help/en_US/scilab_en_US_help/qpipopt.html +++ b/help/en_US/scilab_en_US_help/qpipopt.html @@ -44,31 +44,31 @@
a 1 x 1 matrix of doubles, number of variables
a double, number of variables
a 1 x 1 matrix of doubles, number of constraints
a double, number of constraints
a n x n symmetric matrix of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.
a symmetric matrix of doubles, represents coefficients of quadratic in the quadratic problem.
a n x 1 matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem
a vector of doubles, represents coefficients of linear in the quadratic problem
a n x 1 matrix of doubles, where n is number of variables, contains lower bounds of the variables.
a vector of doubles, contains lower bounds of the variables.
a n x 1 matrix of doubles, where n is number of variables, contains upper bounds of the variables.
a vector of doubles, where n is number of variables, contains upper bounds of the variables.
a m x n matrix of doubles, where n is number of variables and m is number of constraints, contains matrix representing the constraint matrix
a matrix of doubles, contains matrix representing the constraint matrix
a m x 1 matrix of doubles, where m is number of constraints, contains lower bounds of the constraints.
a vector of doubles, contains lower bounds of the constraints.
a m x 1 matrix of doubles, where m is number of constraints, contains upper bounds of the constraints.
a vector of doubles, contains upper bounds of the constraints.
a m x 1 matrix of doubles, where m is number of constraints, contains initial guess of variables.
a vector of doubles, contains initial guess of variables.
a list containing the the parameters to be set.
a 1xn matrix of doubles, the computed solution of the optimization problem.
a vector of doubles, the computed solution of the optimization problem.
a 1x1 matrix of doubles, the function value at x.
a double, the function value at x.
Integer identifying the reason the algorithm terminated.