From dd3d72ae2cdb43311b4e501966f09694bbd3e505 Mon Sep 17 00:00:00 2001 From: Harpreet Date: Thu, 7 Jan 2016 17:14:07 +0530 Subject: lower bound, upper bound test added --- help/en_US/lsqlin.xml | 16 ++++++++-------- help/en_US/lsqnonneg.xml | 8 ++++---- help/en_US/qpipopt.xml | 6 +++--- help/en_US/qpipoptmat.xml | 8 ++++---- help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS | Bin 7094 -> 7090 bytes .../en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB | Bin 781 -> 781 bytes help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS | Bin 266 -> 266 bytes .../scilab_en_US_help/JavaHelpSearch/POSITIONS | Bin 34656 -> 34613 bytes help/en_US/scilab_en_US_help/JavaHelpSearch/SCHEMA | 2 +- help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP | Bin 16384 -> 16384 bytes help/en_US/scilab_en_US_help/lsqlin.html | 16 ++++++++-------- help/en_US/scilab_en_US_help/lsqnonneg.html | 8 ++++---- help/en_US/scilab_en_US_help/qpipopt.html | 6 +++--- help/en_US/scilab_en_US_help/qpipoptmat.html | 8 ++++---- help/en_US/scilab_en_US_help/symphony.html | 6 +++--- help/en_US/scilab_en_US_help/symphonymat.html | 8 ++++---- help/en_US/symphony.xml | 6 +++--- help/en_US/symphonymat.xml | 8 ++++---- 18 files changed, 53 insertions(+), 53 deletions(-) (limited to 'help') diff --git a/help/en_US/lsqlin.xml b/help/en_US/lsqlin.xml index 0904933..8887f30 100644 --- a/help/en_US/lsqlin.xml +++ b/help/en_US/lsqlin.xml @@ -38,17 +38,17 @@
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 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. Number of elements in d is equal to the number of rows in C matrix.
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 inequality constraints A⋅x ≤ b.
a vector of double, represents the linear coefficients in the inequality constraints
a vector of double, represents the linear coefficients in the inequality constraints A⋅x ≤ b.
a matrix of double, represents the linear coefficients in the equality constraints
a matrix of double, represents the linear coefficients in the equality constraints Aeq⋅x = beq.
a vector of double, represents the linear coefficients in the equality constraints
a vector of double, represents the linear coefficients in the equality constraints Aeq⋅x = beq.
a vector of double, contains lower bounds of the variables.
a vector of double, the computed solution of the optimization problem.
a double, objective value returned as the scalar value norm(C*x-d)^2.
a double, objective value returned as the scalar value norm(C⋅x-d)^2.
a vector of double, solution residuals returned as the vector d-C*x.
a vector of double, solution residuals returned as the vector d-C⋅x.
The exit status. See below for details.
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 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. Number of elements in d is equal to the number of rows in C matrix.
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, the computed solution of the optimization problem.
a double, objective value returned as the scalar value norm(C*x-d)^2.
a double, objective value returned as the scalar value norm(C⋅x-d)^2.
a vector of double, solution residuals returned as the vector d-C*x.
a vector of double, solution residuals returned as the vector d-C⋅x.
The exit status. See below for details.
a vector of double, contains upper bounds of the variables.
a matrix of double, contains the constraint matrix
a matrix of double, contains the constraint matrix conLB ≤ A⋅x ≤ conUB.
a vector of double, contains lower bounds of the constraints.
a vector of double, contains lower bounds of the constraints conLB ≤ A⋅x ≤ conUB.
a vector of double, contains upper bounds of the constraints.
a vector of double, contains upper bounds of the constraints conLB ≤ A⋅x ≤ conUB.
a vector of double, contains initial guess of variables.
a vector of double, represents coefficients of linear in the quadratic problem
a vector of double, represents the linear coefficients in the inequality constraints
a matrix of double, represents the linear coefficients in the inequality constraints A⋅x ≤ b.
a vector of double, represents the linear coefficients in the inequality constraints
a vector of double, represents the linear coefficients in the inequality constraints A⋅x ≤ b.
a matrix of double, represents the linear coefficients in the equality constraints
a matrix of double, represents the linear coefficients in the equality constraints Aeq⋅x = beq.
a vector of double, represents the linear coefficients in the equality constraints
a vector of double, represents the linear coefficients in the equality constraints Aeq⋅x = beq.
a vector of double, contains lower bounds of the variables.
a vector of double, represents upper bounds of the variables.
a matrix of double, represents matrix representing the constraint matrix.
a matrix of double, represents matrix representing the constraint matrix conLB ≤ A⋅x ≤ conUB.
a vector of double, represents lower bounds of the constraints.
a vector of double, represents lower bounds of the constraints conLB ≤ A⋅x ≤ conUB.
a vector of double, represents upper bounds of the constraints
a vector of double, represents upper bounds of the constraints conLB ≤ A⋅x ≤ conUB.
The sense (maximization/minimization) of the objective. Use 1(sym_minimize ) or -1 (sym_maximize) here.
Vector of integer constraints, specified as a vector of positive integers. The values in intcon indicate the components of the decision variable x that are integer-valued. intcon has values from 1 through number of variable.
Linear inequality constraint matrix, specified as a matrix of double. A represents the linear coefficients in the constraints A*x ≤ b. A has the size where columns equals to the number of variables.
a matrix of double, represents the linear coefficients in the inequality constraints A⋅x ≤ b.
Linear inequality constraint vector, specified as a vector of double. b represents the constant vector in the constraints A*x ≤ b. b has size equals to the number of rows in A.
a vector of double, represents the linear coefficients in the inequality constraints A⋅x ≤ b.
Linear equality constraint matrix, specified as a matrix of double. Aeq represents the linear coefficients in the constraints Aeq*x = beq. Aeq has the size where columns equals to the number of variables.
a matrix of double, represents the linear coefficients in the equality constraints Aeq⋅x = beq.
Linear equality constraint vector, specified as a vector of double. beq represents the constant vector in the constraints Aeq*x = beq. beq has size equals to the number of rows in Aeq.
a vector of double, represents the linear coefficients in the equality constraints Aeq⋅x = beq.
Lower bounds, specified as a vector or array of double. lb represents the lower bounds elementwise in lb ≤ x ≤ ub.