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| author | Harpreet | 2015-12-22 15:54:28 +0530 |
|---|---|---|
| committer | Harpreet | 2015-12-22 15:54:28 +0530 |
| commit | 6e9ee19cd67b0b85b7708efa4847c7ebb6d79f24 (patch) | |
| tree | 9501c5e1123426ab0b91d2e668902bd2b8d2a356 /help/en_US/scilab_en_US_help/lsqlin.html | |
| parent | 79583a44468943fad22ba1de2dd25dd86f7be167 (diff) | |
| download | FOSSEE-Optimization-toolbox-6e9ee19cd67b0b85b7708efa4847c7ebb6d79f24.tar.gz FOSSEE-Optimization-toolbox-6e9ee19cd67b0b85b7708efa4847c7ebb6d79f24.tar.bz2 FOSSEE-Optimization-toolbox-6e9ee19cd67b0b85b7708efa4847c7ebb6d79f24.zip | |
Bugs fixed 3
Diffstat (limited to 'help/en_US/scilab_en_US_help/lsqlin.html')
| -rw-r--r-- | help/en_US/scilab_en_US_help/lsqlin.html | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/help/en_US/scilab_en_US_help/lsqlin.html b/help/en_US/scilab_en_US_help/lsqlin.html index b371871..b843257 100644 --- a/help/en_US/scilab_en_US_help/lsqlin.html +++ b/help/en_US/scilab_en_US_help/lsqlin.html @@ -46,31 +46,31 @@ <div class="refsection"><h3 class="title">Parameters</h3> <dl><dt><span class="term">C :</span> - <dd><p class="para">a matrix of doubles, represents the multiplier of the solution x in the expression C*x - d. C is M-by-N, where M is the number of equations, and N is the number of elements of x.</p></dd></dt> + <dd><p class="para">a matrix of double, represents the multiplier of the solution x in the expression C*x - d. C is M-by-N, where M is the number of equations, and N is the number of elements of x.</p></dd></dt> <dt><span class="term">d :</span> - <dd><p class="para">a vector of doubles, represents the additive constant term in the expression C*x - d. d is M-by-1, where M is the number of equations.</p></dd></dt> + <dd><p class="para">a vector of double, represents the additive constant term in the expression C*x - d. d is M-by-1, where M is the number of equations.</p></dd></dt> <dt><span class="term">A :</span> - <dd><p class="para">a vector of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt> + <dd><p class="para">a vector of double, represents the linear coefficients in the inequality constraints</p></dd></dt> <dt><span class="term">b :</span> - <dd><p class="para">a vector of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt> + <dd><p class="para">a vector of double, represents the linear coefficients in the inequality constraints</p></dd></dt> <dt><span class="term">Aeq :</span> - <dd><p class="para">a matrix of doubles, represents the linear coefficients in the equality constraints</p></dd></dt> + <dd><p class="para">a matrix of double, represents the linear coefficients in the equality constraints</p></dd></dt> <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> + <dd><p class="para">a vector of double, 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, contains lower bounds of the variables.</p></dd></dt> + <dd><p class="para">a vector of double, contains lower bounds of the variables.</p></dd></dt> <dt><span class="term">UB :</span> - <dd><p class="para">a vector of doubles, contains upper bounds of the variables.</p></dd></dt> + <dd><p class="para">a vector of double, 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> + <dd><p class="para">a vector of double, 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> + <dd><p class="para">a vector of double, the computed solution of the optimization problem.</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> + <dd><p class="para">a vector of double, 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> |