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| author | Harpreet | 2015-12-11 12:51:00 +0530 |
|---|---|---|
| committer | Harpreet | 2015-12-11 12:51:00 +0530 |
| commit | 436f0daf6e4f241b8fa582a943bad09ddc091f59 (patch) | |
| tree | a3f0899e5fb0542c69c4aae469c0c5bf0a04b542 /help/en_US/lsqlin.xml | |
| parent | 6cc967755bb135d656fba0523b4eb206581492ca (diff) | |
| download | symphony-436f0daf6e4f241b8fa582a943bad09ddc091f59.tar.gz symphony-436f0daf6e4f241b8fa582a943bad09ddc091f59.tar.bz2 symphony-436f0daf6e4f241b8fa582a943bad09ddc091f59.zip | |
lsqnonneg added
Diffstat (limited to 'help/en_US/lsqlin.xml')
| -rw-r--r-- | help/en_US/lsqlin.xml | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/help/en_US/lsqlin.xml b/help/en_US/lsqlin.xml index 92dbd91..1216bae 100644 --- a/help/en_US/lsqlin.xml +++ b/help/en_US/lsqlin.xml @@ -50,17 +50,19 @@ <varlistentry><term>beq :</term> <listitem><para> a vector of doubles, represents the linear coefficients in the equality constraints</para></listitem></varlistentry> <varlistentry><term>LB :</term> - <listitem><para> a vector of doubles, where n is number of variables, contains lower bounds of the variables.</para></listitem></varlistentry> + <listitem><para> a vector of doubles, contains lower bounds of the variables.</para></listitem></varlistentry> <varlistentry><term>UB :</term> - <listitem><para> a vector of doubles, where n is number of variables, contains upper bounds of the variables.</para></listitem></varlistentry> + <listitem><para> a vector of doubles, contains upper bounds of the variables.</para></listitem></varlistentry> <varlistentry><term>x0 :</term> <listitem><para> a vector of doubles, contains initial guess of variables.</para></listitem></varlistentry> <varlistentry><term>param :</term> <listitem><para> a list containing the the parameters to be set.</para></listitem></varlistentry> <varlistentry><term>xopt :</term> <listitem><para> a vector of doubles, the computed solution of the optimization problem.</para></listitem></varlistentry> - <varlistentry><term>fopt :</term> - <listitem><para> a double, the function value at x.</para></listitem></varlistentry> + <varlistentry><term>resnorm :</term> + <listitem><para> a double, objective value returned as the scalar value norm(C*x-d)^2.</para></listitem></varlistentry> + <varlistentry><term>residual :</term> + <listitem><para> a vector of doubles, solution residuals returned as the vector C*x-d.</para></listitem></varlistentry> <varlistentry><term>exitflag :</term> <listitem><para> Integer identifying the reason the algorithm terminated.</para></listitem></varlistentry> <varlistentry><term>output :</term> @@ -74,7 +76,6 @@ <title>Description</title> <para> Search the minimum of a constrained linear least square problem specified by : -find the minimum of f(x) such that </para> <para> <latex> |