From eb9ca1191c94059cd7adcf69805906c809fe9712 Mon Sep 17 00:00:00 2001 From: Harpreet Date: Tue, 29 Dec 2015 00:38:48 +0530 Subject: Bugs fixed 4 --- help/en_US/scilab_en_US_help/lsqlin.html | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) (limited to 'help/en_US/scilab_en_US_help/lsqlin.html') diff --git a/help/en_US/scilab_en_US_help/lsqlin.html b/help/en_US/scilab_en_US_help/lsqlin.html index b843257..aef773d 100644 --- a/help/en_US/scilab_en_US_help/lsqlin.html +++ b/help/en_US/scilab_en_US_help/lsqlin.html @@ -46,9 +46,9 @@
a matrix of double, represents the multiplier of the solution x in the expression C*x - d. C is M-by-N, where M is the number of equations, and N is the number of elements of x.
a matrix of double, represents the multiplier of the solution x in the expression C*x - d. Number of columns in C is equal to the number of elements in x.
a vector of double, represents the additive constant term in the expression C*x - d. d is M-by-1, where M is the number of equations.
a vector of double, represents the additive constant term in the expression C*x - d. Number of elements in d is equal to the number of rows in C matrix.
a vector of double, represents the linear coefficients in the inequality constraints
a matrix of double, represents the linear coefficients in the equality constraints
a vector of double, represents the linear coefficients in the equality constraints
a vector of double, contains lower bounds of the variables.
a vector of double, contains upper bounds of the variables.
a vector of double, contains initial guess of variables.
a vector of double, solution residuals returned as the vector C*x-d.
Integer identifying the reason the algorithm terminated.
Integer identifying the reason the algorithm terminated. It could be 0, 1 or 2 etc. i.e. Optimal, Maximum Number of Iterations Exceeded, CPU time exceeded. Other flags one can see in the lsqlin macro.
Structure containing information about the optimization. Right now it contains number of iteration.
Structure containing information about the optimization. This version only contains number of iterations.
Structure containing the Lagrange multipliers at the solution x (separated by constraint type).It contains lower, upper and linear equality, inequality constraints.
Structure containing the Lagrange multipliers at the solution x (separated by constraint type).It contains lower, upper bound multiplier and linear equality, inequality constraints.
Search the minimum of a constrained linear least square problem specified by :
-We are calling IPOpt for solving the linear least square problem, IPOpt is a library written in C++.
+The routine calls Ipopt for solving the linear least square problem, Ipopt is a library written in C++.
//A basic example for equality, inequality and bounds + |