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| author | Harpreet | 2015-11-17 22:28:26 +0530 |
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| committer | Harpreet | 2015-11-17 22:28:26 +0530 |
| commit | 95d920496cc4b3263c3ea1bc698e6fd5745917bd (patch) | |
| tree | dcfd7b1e0b894b854e74d4077030fb8848f831b9 /help/en_US/scilab_en_US_help/qpipopt.html | |
| parent | 5fe89390b61acf1394f853e7ffee0be34eba2c43 (diff) | |
| download | FOSSEE-Optimization-toolbox-95d920496cc4b3263c3ea1bc698e6fd5745917bd.tar.gz FOSSEE-Optimization-toolbox-95d920496cc4b3263c3ea1bc698e6fd5745917bd.tar.bz2 FOSSEE-Optimization-toolbox-95d920496cc4b3263c3ea1bc698e6fd5745917bd.zip | |
error management updated
Diffstat (limited to 'help/en_US/scilab_en_US_help/qpipopt.html')
| -rw-r--r-- | help/en_US/scilab_en_US_help/qpipopt.html | 24 |
1 files changed, 12 insertions, 12 deletions
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 @@ <div class="refsection"><h3 class="title">Parameters</h3> <dl><dt><span class="term">nbVar :</span> - <dd><p class="para">a 1 x 1 matrix of doubles, number of variables</p></dd></dt> + <dd><p class="para">a double, number of variables</p></dd></dt> <dt><span class="term">nbCon :</span> - <dd><p class="para">a 1 x 1 matrix of doubles, number of constraints</p></dd></dt> + <dd><p class="para">a double, number of constraints</p></dd></dt> <dt><span class="term">Q :</span> - <dd><p class="para">a n x n symmetric matrix of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.</p></dd></dt> + <dd><p class="para">a symmetric matrix of doubles, represents coefficients of quadratic in the quadratic problem.</p></dd></dt> <dt><span class="term">p :</span> - <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, represents coefficients of linear in the quadratic problem</p></dd></dt> + <dd><p class="para">a vector of doubles, represents coefficients of linear in the quadratic problem</p></dd></dt> <dt><span class="term">LB :</span> - <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, contains lower bounds of the variables.</p></dd></dt> + <dd><p class="para">a vector of doubles, contains lower bounds of the variables.</p></dd></dt> <dt><span class="term">UB :</span> - <dd><p class="para">a n x 1 matrix of doubles, where n is number of variables, contains upper bounds of the variables.</p></dd></dt> + <dd><p class="para">a vector of doubles, where n is number of variables, contains upper bounds of the variables.</p></dd></dt> <dt><span class="term">conMatrix :</span> - <dd><p class="para">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</p></dd></dt> + <dd><p class="para">a matrix of doubles, contains matrix representing the constraint matrix</p></dd></dt> <dt><span class="term">conLB :</span> - <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains lower bounds of the constraints.</p></dd></dt> + <dd><p class="para">a vector of doubles, contains lower bounds of the constraints.</p></dd></dt> <dt><span class="term">conUB :</span> - <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains upper bounds of the constraints.</p></dd></dt> + <dd><p class="para">a vector of doubles, contains upper bounds of the constraints.</p></dd></dt> <dt><span class="term">x0 :</span> - <dd><p class="para">a m x 1 matrix of doubles, where m is number of constraints, contains initial guess of variables.</p></dd></dt> + <dd><p class="para">a vector of doubles, contains initial guess of variables.</p></dd></dt> <dt><span class="term">param :</span> <dd><p class="para">a list containing the the parameters to be set.</p></dd></dt> <dt><span class="term">xopt :</span> - <dd><p class="para">a 1xn matrix of doubles, the computed solution of the optimization problem.</p></dd></dt> + <dd><p class="para">a vector of doubles, the computed solution of the optimization problem.</p></dd></dt> <dt><span class="term">fopt :</span> - <dd><p class="para">a 1x1 matrix of doubles, the function value at x.</p></dd></dt> + <dd><p class="para">a double, the function value at x.</p></dd></dt> <dt><span class="term">exitflag :</span> <dd><p class="para">Integer identifying the reason the algorithm terminated.</p></dd></dt> <dt><span class="term">output :</span> |