error management updated

10 files changed, 49 insertions, 49 deletions

diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS
index bf90ce2..02038f6 100644
--- a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS
+++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS
diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB
index 1b174ab..23181b6 100644
--- a/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB
+++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/DOCS.TAB
@@ -1,2 +1,2 @@
-
eџџџџџџџџџџџџџї_џџџџџџџџџџџџџџџџџџџџџї_џџџџџџџџџџџџџџџџџџџџџџџџџџџџџџy§езџ§зџї_џ§зџuџџџџџџ§Я'\вџџџџџџџџџџџџџџџџѓ	ї_§ЕџџџѓЩџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџЧџ4Ÿџџ§зџї_ќhT‘‘_e4Нs	ќвџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџє

_
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t и ”`6Š
|*Vƒ@ЊXRЎ†Хф
‚AёX{0lHтЃJ(3\/ тХЦPАГ…$2…YGеЫ†G…r†Ž Ч$Vƒ(&QoЁŸцZ№Р(0–OўКЉзuџ8Љ?Ћї_Ь)[Й’j_иТzяџЬ&eџкЉY;7|T0Т!аФ,ЁBŒ(ђ*2 Uё‘rŒ‡&(OЏЫѓ0П0ГаМйБFŠ6/ЭtŸаГебђЯвлЦ]~жm*œ`QгІBѓjЇђЬ/џѓџџЭ/Ь/9Y.,пdъЊПџeџџЫџ7џџџ§ЕeџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџйrЬДЋЊЊdВЬЋtЂџ0Г0МЫЈПќТЬ,Тџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџи
\ No newline at end of file
+
eџџџџџџџџџџџџџї_џџџџџџџџџџџџџџџџџџџџџї_џџџџџџџџџџџџџџџџџџџџџџџџџџџџџџy§езџ§зџї_џ§зџuџџџџџџ§Я'\вџџџџџџџџџџџџџџџќТ}зџmџџќђџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџќpGџќвџџџ§зџї_ќhT‘‘_e4Нs	ќвџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџє

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\ No newline at end of file
diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS b/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS
index ac2dfed..d20c98d 100644
--- a/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS
+++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/OFFSETS
diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS b/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS
index 8be86f0..e2773de 100644
--- a/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS
+++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/POSITIONS
diff --git a/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP b/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP
index 28f8966..7e8baef 100644
--- a/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP
+++ b/help/en_US/scilab_en_US_help/JavaHelpSearch/TMAP
diff --git a/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png b/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png
index 07dafd6..2e81ca1 100644
--- a/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png
+++ b/help/en_US/scilab_en_US_help/_LaTeX_symphonymat.xml_1.png
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>
diff --git a/help/en_US/scilab_en_US_help/qpipoptmat.html b/help/en_US/scilab_en_US_help/qpipoptmat.html
index 5e7518e..a9f97aa 100644
--- a/help/en_US/scilab_en_US_help/qpipoptmat.html
+++ b/help/en_US/scilab_en_US_help/qpipoptmat.html
@@ -47,29 +47,29 @@
 
 <div class="refsection"><h3 class="title">Parameters</h3>
    <dl><dt><span class="term">H :</span>
-      <dd><p class="para">a n x n 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 vector of doubles, where n is number of variables, represents coefficients of quadratic in the quadratic problem.</p></dd></dt>
    <dt><span class="term">f :</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, where n is number of variables, represents coefficients of linear in the quadratic problem</p></dd></dt>
    <dt><span class="term">A :</span>
-      <dd><p class="para">a m x n matrix of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt>
+      <dd><p class="para">a vector of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt>
    <dt><span class="term">b :</span>
-      <dd><p class="para">a column vector of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt>
+      <dd><p class="para">a vector of doubles, represents the linear coefficients in the inequality constraints</p></dd></dt>
    <dt><span class="term">Aeq :</span>
-      <dd><p class="para">a meq x n matrix of doubles, represents the linear coefficients in the equality constraints</p></dd></dt>
+      <dd><p class="para">a matrix of doubles, 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>
    <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, where n is number of variables, 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">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 nx1 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>
@@ -100,7 +100,7 @@ find the minimum of f(x) such that</p>
 <span class="scilabid">param</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://list">list</a><span class="scilabopenclose">(</span><span class="scilabstring">&#0034;</span><span class="scilabstring">MaxIter</span><span class="scilabstring">&#0034;</span><span class="scilabdefault">,</span> <span class="scilabnumber">300</span><span class="scilabdefault">,</span> <span class="scilabstring">&#0034;</span><span class="scilabstring">CpuTime</span><span class="scilabstring">&#0034;</span><span class="scilabdefault">,</span> <span class="scilabnumber">100</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
 <span class="scilabcomment">//and minimize 0.5*x</span><span class="scilabcomment">&#0039;</span><span class="scilabcomment">*Q*x + p</span><span class="scilabcomment">&#0039;</span><span class="scilabcomment">*x with</span>
 <span class="scilabid">f</span><span class="scilaboperator">=</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span> <span class="scilabnumber">2</span><span class="scilabdefault">;</span> <span class="scilabnumber">3</span><span class="scilabdefault">;</span> <span class="scilabnumber">4</span><span class="scilabdefault">;</span> <span class="scilabnumber">5</span><span class="scilabdefault">;</span> <span class="scilabnumber">6</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span> <span class="scilabid">H</span><span class="scilaboperator">=</span><a class="scilabcommand" href="scilab://eye">eye</a><span class="scilabopenclose">(</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
-<span class="scilabopenclose">[</span><span class="scilabid">xopt</span><span class="scilabdefault">,</span><span class="scilabid">fopt</span><span class="scilabdefault">,</span><span class="scilabid">exitflag</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabdefault">,</span><span class="scilabid">lambda</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span><span class="scilabid">qpipoptmat</span><span class="scilabopenclose">(</span><span class="scilabid">H</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">A</span><span class="scilabdefault">,</span><span class="scilabid">b</span><span class="scilabdefault">,</span><span class="scilabid">Aeq</span><span class="scilabdefault">,</span><span class="scilabid">beq</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabid">param</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabopenclose">[</span><span class="scilabid">xopt</span><span class="scilabdefault">,</span><span class="scilabid">fopt</span><span class="scilabdefault">,</span><span class="scilabid">exitflag</span><span class="scilabdefault">,</span><span class="scilabid">output</span><span class="scilabdefault">,</span><span class="scilabid">lambda</span><span class="scilabopenclose">]</span><span class="scilaboperator">=</span><span class="scilabid">qpipoptmat</span><span class="scilabopenclose">(</span><span class="scilabid">H</span><span class="scilabdefault">,</span><span class="scilabid">f</span><span class="scilabdefault">,</span><span class="scilabid">A</span><span class="scilabdefault">,</span><span class="scilabid">b</span><span class="scilabdefault">,</span><span class="scilabid">Aeq</span><span class="scilabdefault">,</span><span class="scilabid">beq</span><span class="scilabdefault">,</span><span class="scilabid">lb</span><span class="scilabdefault">,</span><span class="scilabid">ub</span><span class="scilabdefault">,</span><span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabid">param</span><span class="scilabopenclose">)</span>
 <span class="scilabid">clear</span> <span class="scilabid">H</span> <span class="scilabid">f</span> <span class="scilabid">A</span> <span class="scilabid">b</span> <span class="scilabid">Aeq</span> <span class="scilabid">beq</span> <span class="scilabid">lb</span> <span class="scilabid">ub</span><span class="scilabdefault">;</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div>
 
 <div class="refsection"><h3 class="title">Examples</h3>
diff --git a/help/en_US/scilab_en_US_help/symphony.html b/help/en_US/scilab_en_US_help/symphony.html
index a1e3eea..c5b8336 100644
--- a/help/en_US/scilab_en_US_help/symphony.html
+++ b/help/en_US/scilab_en_US_help/symphony.html
@@ -44,33 +44,33 @@
 
 <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">objCoeff :</span>
-      <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, contains coefficients of the variables in the objective</p></dd></dt>
+      <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, represents coefficients of the variables in the objective.</p></dd></dt>
    <dt><span class="term">isInt :</span>
-      <dd><p class="para">a 1 x n matrix of boolean, where n is number of variables, representing wether a variable is constrained to be an integer</p></dd></dt>
+      <dd><p class="para">a vector of boolean, represents wether a variable is constrained to be an integer.</p></dd></dt>
    <dt><span class="term">LB :</span>
-      <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, contains lower bounds of the variables. Bound can be negative infinity</p></dd></dt>
+      <dd><p class="para">a vector of doubles, represents lower bounds of the variables.</p></dd></dt>
    <dt><span class="term">UB :</span>
-      <dd><p class="para">a 1 x n matrix of doubles, where n is number of variables, contains upper bounds of the variables. Bound can be infinity</p></dd></dt>
+      <dd><p class="para">a vector of doubles, represents 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, represents  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, represents 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, represents upper bounds of the constraints</p></dd></dt>
    <dt><span class="term">objSense :</span>
-      <dd><p class="para">The sense (maximization/minimization) of the objective. Use 1(sym_minimize ) or -1 (sym_maximize) here</p></dd></dt>
+      <dd><p class="para">The sense (maximization/minimization) of the objective. Use 1(sym_minimize ) or -1 (sym_maximize) here.</p></dd></dt>
    <dt><span class="term">options :</span>
-      <dd><p class="para">a 1xq marix of string, provided to set the paramters in symphony</p></dd></dt>
+      <dd><p class="para">a 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">status :</span>
-      <dd><p class="para">status flag from symphony</p></dd></dt>
+      <dd><p class="para">status flag from symphony.</p></dd></dt>
    <dt><span class="term">output :</span>
       <dd><p class="para">The output data structure contains detailed informations about the optimization process.</p></dd></dt></dl></div>
 
@@ -84,11 +84,11 @@ find the minimum or maximum of f(x) such that</p>
 <div class="refsection"><h3 class="title">Examples</h3>
    <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabcomment">//A basic case :</span>
 <span class="scilabcomment">// Objective function</span>
-<span class="scilabid">c</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">350</span><span class="scilaboperator">*</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">330</span><span class="scilaboperator">*</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">310</span><span class="scilaboperator">*</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">280</span><span class="scilaboperator">*</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">500</span><span class="scilabdefault">,</span><span class="scilabnumber">450</span><span class="scilabdefault">,</span><span class="scilabnumber">400</span><span class="scilabdefault">,</span><span class="scilabnumber">100</span><span class="scilabopenclose">]</span>
+<span class="scilabid">c</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">350</span><span class="scilaboperator">*</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">330</span><span class="scilaboperator">*</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">310</span><span class="scilaboperator">*</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">280</span><span class="scilaboperator">*</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">500</span><span class="scilabdefault">,</span><span class="scilabnumber">450</span><span class="scilabdefault">,</span><span class="scilabnumber">400</span><span class="scilabdefault">,</span><span class="scilabnumber">100</span><span class="scilabopenclose">]</span><span class="scilaboperator">&#0039;</span><span class="scilabdefault">;</span>
 <span class="scilabcomment">// Lower Bound of variable</span>
-<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">8</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
+<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">8</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span>
 <span class="scilabcomment">// Upper Bound of variables</span>
-<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabopenclose">)</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabconstants">%inf</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabopenclose">)</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
+<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabdefault">;</span><a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabconstants">%inf</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
 <span class="scilabcomment">// Constraint Matrix</span>
 <span class="scilabid">conMatrix</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabnumber">5</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">;</span>
 <span class="scilabnumber">5</span><span class="scilaboperator">*</span><span class="scilabnumber">0.05</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilaboperator">*</span><span class="scilabnumber">0.04</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilaboperator">*</span><span class="scilabnumber">0.05</span><span class="scilabdefault">,</span><span class="scilabnumber">6</span><span class="scilaboperator">*</span><span class="scilabnumber">0.03</span><span class="scilabdefault">,</span><span class="scilabnumber">0.08</span><span class="scilabdefault">,</span><span class="scilabnumber">0.07</span><span class="scilabdefault">,</span><span class="scilabnumber">0.06</span><span class="scilabdefault">,</span><span class="scilabnumber">0.03</span><span class="scilabdefault">;</span>
@@ -121,7 +121,7 @@ find the minimum or maximum of f(x) such that</p>
 <span class="scilabnumber">957</span> <span class="scilabnumber">798</span> <span class="scilabnumber">669</span> <span class="scilabnumber">625</span> <span class="scilabnumber">467</span> <span class="scilabnumber">1051</span> <span class="scilabnumber">552</span> <span class="scilabnumber">717</span> <span class="scilabnumber">654</span> <span class="scilabnumber">388</span> <span class="scilabnumber">559</span> <span class="scilabnumber">555</span> <span class="scilabnumber">1104</span> <span class="scilabnumber">783</span> <span class="scilabspecial">..</span>
 <span class="scilabnumber">959</span> <span class="scilabnumber">668</span> <span class="scilabnumber">507</span> <span class="scilabnumber">855</span> <span class="scilabnumber">986</span> <span class="scilabnumber">831</span> <span class="scilabnumber">821</span> <span class="scilabnumber">825</span> <span class="scilabnumber">868</span> <span class="scilabnumber">852</span> <span class="scilabnumber">832</span> <span class="scilabnumber">828</span> <span class="scilabnumber">799</span> <span class="scilabnumber">686</span> <span class="scilabspecial">..</span>
 <span class="scilabnumber">510</span> <span class="scilabnumber">671</span> <span class="scilabnumber">575</span> <span class="scilabnumber">740</span> <span class="scilabnumber">510</span> <span class="scilabnumber">675</span> <span class="scilabnumber">996</span> <span class="scilabnumber">636</span> <span class="scilabnumber">826</span> <span class="scilabnumber">1022</span> <span class="scilabnumber">1140</span> <span class="scilabnumber">654</span> <span class="scilabnumber">909</span> <span class="scilabnumber">799</span> <span class="scilabspecial">..</span>
-<span class="scilabnumber">1162</span> <span class="scilabnumber">653</span> <span class="scilabnumber">814</span> <span class="scilabnumber">625</span> <span class="scilabnumber">599</span> <span class="scilabnumber">476</span> <span class="scilabnumber">767</span> <span class="scilabnumber">954</span> <span class="scilabnumber">906</span> <span class="scilabnumber">904</span> <span class="scilabnumber">649</span> <span class="scilabnumber">873</span> <span class="scilabnumber">565</span> <span class="scilabnumber">853</span> <span class="scilabnumber">1008</span> <span class="scilabnumber">632</span><span class="scilabopenclose">]</span>
+<span class="scilabnumber">1162</span> <span class="scilabnumber">653</span> <span class="scilabnumber">814</span> <span class="scilabnumber">625</span> <span class="scilabnumber">599</span> <span class="scilabnumber">476</span> <span class="scilabnumber">767</span> <span class="scilabnumber">954</span> <span class="scilabnumber">906</span> <span class="scilabnumber">904</span> <span class="scilabnumber">649</span> <span class="scilabnumber">873</span> <span class="scilabnumber">565</span> <span class="scilabnumber">853</span> <span class="scilabnumber">1008</span> <span class="scilabnumber">632</span><span class="scilabopenclose">]</span><span class="scilaboperator">&#0039;</span><span class="scilabdefault">;</span>
 <span class="scilabcomment">//Constraint Matrix</span>
 <span class="scilabid">conMatrix</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span>
 <span class="scilabcomment">//Constraint 1</span>
@@ -168,9 +168,9 @@ find the minimum or maximum of f(x) such that</p>
 <span class="scilabid">nbCon</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://size">size</a><span class="scilabopenclose">(</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span>
 <span class="scilabid">nbVar</span> <span class="scilaboperator">=</span> <a class="scilabcommand" href="scilab://size">size</a><span class="scilabopenclose">(</span><span class="scilabid">conMatrix</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabopenclose">)</span>
 <span class="scilabcomment">// Lower Bound of variables</span>
-<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabopenclose">)</span>
+<span class="scilabid">lb</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">0</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span>
 <span class="scilabcomment">// Upper Bound of variables</span>
-<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabopenclose">)</span>
+<span class="scilabid">ub</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabopenclose">)</span>
 <span class="scilabcomment">// Row Matrix for telling symphony that the is integer or not</span>
 <span class="scilabid">isInt</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabconstants">%t</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabopenclose">)</span>
 <span class="scilabcomment">// Lower Bound of constrains</span>
diff --git a/help/en_US/scilab_en_US_help/symphonymat.html b/help/en_US/scilab_en_US_help/symphonymat.html
index 23ff2c6..8001136 100644
--- a/help/en_US/scilab_en_US_help/symphonymat.html
+++ b/help/en_US/scilab_en_US_help/symphonymat.html
@@ -45,9 +45,9 @@
 
 <div class="refsection"><h3 class="title">Parameters</h3>
    <dl><dt><span class="term">f :</span>
-      <dd><p class="para">a 1xn matrix of doubles, where n is number of variables, contains coefficients of the variables in the objective</p></dd></dt>
+      <dd><p class="para">a vector of doubles, where n is number of variables, contains coefficients of the variables in the objective</p></dd></dt>
    <dt><span class="term">intcon :</span>
-      <dd><p class="para">Vector of integer constraints, specified as a vector of positive integers. The values in intcon indicate the components of the decision variable x that are integer-valued. intcon has values from 1 through number of variable</p></dd></dt>
+      <dd><p class="para">Vector of integer constraints, specified as a vector of positive integers. The values in intcon indicate the components of the decision variable x that are integer-valued. intcon has values from 1 through number of variable.</p></dd></dt>
    <dt><span class="term">A :</span>
       <dd><p class="para">Linear inequality constraint matrix, specified as a matrix of doubles. A represents the linear coefficients in the constraints A*x т‰Є b. A has size M-by-N, where M is the number of constraints and N is number of variables</p></dd></dt>
    <dt><span class="term">b :</span>
@@ -72,7 +72,7 @@
 <div class="refsection"><h3 class="title">Description</h3>
    <p class="para">Search the minimum or maximum of a constrained mixed integer linear programming optimization problem specified by :
 find the minimum or maximum of f(x) such that</p>
-   <p class="para"><span><img src='./_LaTeX_symphonymat.xml_1.png' style='position:relative;top:31px;width:293px;height:70px'/></span></p>
+   <p class="para"><span><img src='./_LaTeX_symphonymat.xml_1.png' style='position:relative;top:40px;width:205px;height:88px'/></span></p>
    <p class="para">We are calling SYMPHONY written in C by gateway files for the actual computation. SYMPHONY was originally written by т€‹Ted Ralphs, т€‹Menal Guzelsoy and т€‹Ashutosh Mahajan.</p>
    <p class="para"></p></div>
 
@@ -159,7 +159,7 @@ find the minimum or maximum of f(x) such that</p>
 <span class="scilabcomment">// Upper Bound of variables</span>
 <span class="scilabid">ub</span> <span class="scilaboperator">=</span> <a class="scilabmacro" href="scilab://repmat">repmat</a><span class="scilabopenclose">(</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabid">nbVar</span><span class="scilabopenclose">)</span>
 <span class="scilabcomment">// Lower Bound of constrains</span>
-<span class="scilabid">intcon</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabopenclose">]</span>
+<span class="scilabid">intcon</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
 <span class="scilabskeyword">for</span> <span class="scilabid">i</span> <span class="scilaboperator">=</span> <span class="scilabnumber">1</span><span class="scilabspecial">:</span><span class="scilabid">nbVar</span>
 <span class="scilabid">intcon</span> <span class="scilaboperator">=</span> <span class="scilabopenclose">[</span><span class="scilabid">intcon</span> <span class="scilabid">i</span><span class="scilabopenclose">]</span><span class="scilabdefault">;</span>
 <span class="scilabskeyword">end</span>