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-rw-r--r--macros/lsqnonneg.sci8
1 files changed, 4 insertions, 4 deletions
diff --git a/macros/lsqnonneg.sci b/macros/lsqnonneg.sci
index d95ee86..3b152bf 100644
--- a/macros/lsqnonneg.sci
+++ b/macros/lsqnonneg.sci
@@ -19,11 +19,11 @@ function [xopt,resnorm,residual,exitflag,output,lambda] = lsqnonneg (varargin)
// [xopt,resnorm,residual,exitflag,output,lambda] = lsqnonneg( ... )
//
// Parameters
- // C : 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.
- // d : 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.
+ // C : 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.
+ // d : 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.
// xopt : a vector of double, the computed solution of the optimization problem.
- // resnorm : a double, objective value returned as the scalar value norm(C*x-d)^2.
- // residual : a vector of double, solution residuals returned as the vector d-C*x.
+ // resnorm : a double, objective value returned as the scalar value norm(C⋅x-d)^2.
+ // residual : a vector of double, solution residuals returned as the vector d-C⋅x.
// exitflag : The exit status. See below for details.
// output : The structure consist of statistics about the optimization. See below for details.
// lambda : The structure consist of the Lagrange multipliers at the solution of problem. See below for details.