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Diffstat (limited to 'help/en_US/scilab_en_US_help/lsqlin.html')
| -rw-r--r-- | help/en_US/scilab_en_US_help/lsqlin.html | 17 |
1 files changed, 9 insertions, 8 deletions
diff --git a/help/en_US/scilab_en_US_help/lsqlin.html b/help/en_US/scilab_en_US_help/lsqlin.html index 96c6de1..bf5a259 100644 --- a/help/en_US/scilab_en_US_help/lsqlin.html +++ b/help/en_US/scilab_en_US_help/lsqlin.html @@ -20,7 +20,7 @@ </td> <td width="30%" class="next"> - <span class="next"><a href="qpipopt.html">qpipopt >></a></span> + <span class="next"><a href="lsqnonneg.html">lsqnonneg >></a></span> </td> </tr></table> @@ -58,17 +58,19 @@ <dt><span class="term">beq :</span> <dd><p class="para">a vector of doubles, represents the linear coefficients in the equality constraints</p></dd></dt> <dt><span class="term">LB :</span> - <dd><p class="para">a vector 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 vector 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, contains upper bounds of the variables.</p></dd></dt> <dt><span class="term">x0 :</span> <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 vector of doubles, the computed solution of the optimization problem.</p></dd></dt> - <dt><span class="term">fopt :</span> - <dd><p class="para">a double, the function value at x.</p></dd></dt> + <dt><span class="term">resnorm :</span> + <dd><p class="para">a double, objective value returned as the scalar value norm(C*x-d)^2.</p></dd></dt> + <dt><span class="term">residual :</span> + <dd><p class="para">a vector of doubles, solution residuals returned as the vector C*x-d.</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> @@ -77,8 +79,7 @@ <dd><p class="para">Structure containing the Lagrange multipliers at the solution x (separated by constraint type).</p></dd></dt></dl></div> <div class="refsection"><h3 class="title">Description</h3> - <p class="para">Search the minimum of a constrained linear least square problem specified by : -find the minimum of f(x) such that</p> + <p class="para">Search the minimum of a constrained linear least square problem specified by :</p> <p class="para"><span><img src='./_LaTeX_lsqlin.xml_1.png' style='position:relative;top:41px;width:234px;height:90px'/></span></p> <p class="para">We are calling IPOpt for solving the linear least square problem, IPOpt is a library written in C++. The code has been written by Andreas Wächter and Carl Laird.</p> <p class="para"></p></div> @@ -143,7 +144,7 @@ find the minimum of f(x) such that</p> </td> <td width="30%" class="next"> - <span class="next"><a href="qpipopt.html">qpipopt >></a></span> + <span class="next"><a href="lsqnonneg.html">lsqnonneg >></a></span> </td> </tr></table> |