Making of help

5 files changed, 133 insertions, 566 deletions

diff --git a/demos/symphony_knapsack.sce b/demos/symphony_knapsack.sce
index 653b10a..e28b7b1 100644
--- a/demos/symphony_knapsack.sce
+++ b/demos/symphony_knapsack.sce
@@ -106,12 +106,11 @@ fopt = [ 24381 ]
 // Calling Symphony
 [x,f,iter]= symphony(nbVar,nbCon,p,isInt,lb,ub,conMatrix,conLB,conUB,-1)
 
-halt()   // Press return to continue
  
 //========= E N D === O F === D E M O =========//
 //
 // Load this script into the editor
 //
-filename = "fmincon.sce";
+filename = "symphony_knapsack.sce";
 dname = get_absolute_file_path(filename);
 editor ( dname + filename );
diff --git a/license.txt b/license.txt
deleted file mode 100644
index fcc8df2..0000000
--- a/license.txt
+++ /dev/null
@@ -1,506 +0,0 @@
-
-CeCILL FREE SOFTWARE LICENSE AGREEMENT
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-Version 2.0 dated 2006-09-05.
diff --git a/macros/symphony.sci b/macros/symphony.sci
index f0a0618..c90dca2 100644
--- a/macros/symphony.sci
+++ b/macros/symphony.sci
@@ -11,13 +11,52 @@
 
 function [xopt,fopt,iter] = symphony (varargin)
 
-  // Solves a linearily constrained optimization problem.
+  // Solves a  mixed integer linear programming constrained optimization problem.
   //
-  // Calling Sequence
-  //   x = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB)
-  //   x = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense)
-  //   x = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense,options)
-  //   [xopt,fopt,status,iter] = symphony( ... )
+  //   Calling Sequence
+  //   
+  //   xopt = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB)
+  //   xopt = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense)
+  //   xopt = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense,options)
+  //   [xopt,fopt,iter] = symphony( ... )
+  //   
+  //   Parameters
+  //   
+  //   nbVar = a 1 x 1 matrix of doubles, number of variables
+  //   nbCon = a 1 x 1 matrix of doubles, number of constraints
+  //   objCoeff = a 1 x n matrix of doubles, where n is number of variables, contains coefficients of the variables in the objective 
+  //   isInt = a 1 x n matrix of boolean, where n is number of variables, representing wether a variable is constrained to be an integer 
+  //   LB = a 1 x n matrix of doubles, where n is number of variables, contains lower bounds of the variables. Bound can be negative infinity
+  //   UB = a 1 x n matrix of doubles, where n is number of variables, contains upper bounds of the variables. Bound can be infinity
+  //   conMatrix = 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 
+  //   conLB = a m x 1 matrix of doubles, where m is number of constraints, contains lower bounds of the constraints. 
+  //   conUB = a m x 1 matrix of doubles, where m is number of constraints, contains upper bounds of the constraints
+  //   objSense = The sense (maximization/minimization) of the objective. Use 1(sym_minimize ) or -1 (sym_maximize) here
+  
+  //   xopt = a nx1 matrix of doubles, the computed solution of the optimization problem
+  //   fopt = a 1x1 matrix of doubles, the function value at x
+  //   iter = a 1x1 matrix of doubles, contains the number od iterations done by symphony
+  //   
+  //   Description
+  //   
+  //   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 
+  //
+  //   <latex>
+  //    \begin{eqnarray}
+  //    \mbox{min}_{x}
+  //    & & f(x) \\
+  //    & \text{subject to}
+  //    & & conLB \geq C(x) \leq conUB \\
+  //    & & & lb \geq x \leq ub \\
+  //    \end{eqnarray}
+  //   </latex>
+  //   
+  //   
+  //   
+  //   
+  //   
+
 
 //To check the number of input and output argument
    [lhs , rhs] = argn();
@@ -51,6 +90,12 @@ function [xopt,fopt,iter] = symphony (varargin)
    end
    
 
+//Check the size of constraint which should equal to the number of constraints
+   if ( size(LB) ~= nbCon) then
+      errmsg = msprintf(gettext("%s: The Lower Bound is not equal to the number of variables"), "Symphony");
+      error(errmsg);
+   end
+
 //Check the size of Lower Bound which should equal to the number of variables
    if ( size(LB) ~= nbVar) then
       errmsg = msprintf(gettext("%s: The Lower Bound is not equal to the number of variables"), "Symphony");
diff --git a/macros/symphony.sci~ b/macros/symphony.sci~
new file mode 100644
index 0000000..32c3e80
--- /dev/null
+++ b/macros/symphony.sci~
@@ -0,0 +1,81 @@
+// Copyright (C) 2015 - IIT Bombay - FOSSEE
+//
+// Author: Harpreet Singh
+// Organization: FOSSEE, IIT Bombay
+// Email: harpreet.mertia@gmail.com
+// This file must be used under the terms of the CeCILL.
+// This source file is licensed as described in the file COPYING, which
+// you should have received as part of this distribution.  The terms
+// are also available at
+// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+
+function [xopt,fopt,iter] = symphony (varargin)
+
+  // Solves a  mixed integer linear programming constrained optimization problem.
+  //
+  // Calling Sequence
+  //   x = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB)
+  //   x = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense)
+  //   x = symphony(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense,options)
+  //   [xopt,fopt,status,iter] = symphony( ... )
+  //   
+
+//To check the number of input and output argument
+   [lhs , rhs] = argn();
+	
+//To check the number of argument given by user
+   if ( rhs < 9 | rhs > 11 ) then
+    errmsg = msprintf(gettext("%s: Unexpected number of input arguments : %d provided while should be in the set [9 10 11]"), "Symphony", rhs);
+    error(errmsg)
+   end
+   
+   nbVar = varargin(1);
+   nbCon = varargin(2);
+   objCoef = varargin(3);
+   isInt = varargin(4);
+   LB = varargin(5);
+   UB = varargin(6);
+   conMatrix = varargin(7);
+   conLB = varargin(8);
+   conUB = varargin(9);
+   
+   if ( rhs<10 ) then
+      objSense = 1;
+   else
+      objSense = varargin(10);
+   end
+   
+   if (rhs<11) then
+      options = [];
+   else
+      options = varargin(11);
+   end
+   
+
+//Check the size of Lower Bound which should equal to the number of variables
+   if ( size(LB) ~= nbVar) then
+      errmsg = msprintf(gettext("%s: The Lower Bound is not equal to the number of variables"), "Symphony");
+      error(errmsg);
+   end
+
+//Check the size of Upper Bound which should equal to the number of variables
+   if ( size(UB) ~= nbVar) then
+      errmsg = msprintf(gettext("%s: The Upper Bound is not equal to the number of variables"), "Symphony");
+      error(errmsg);
+   end
+
+//Check the size of Lower Bound which should equal to the number of constraints
+   if ( size(conLB) ~= nbCon) then
+      errmsg = msprintf(gettext("%s: The Lower Bound of constraints is not equal to the number of constraints"), "Symphony");
+      error(errmsg);
+   end
+
+//Check the size of Upper Bound which should equal to the number of constraints
+   if ( size(conUB) ~= nbCon) then
+      errmsg = msprintf(gettext("%s: The Upper Bound of constraints is not equal to the number of constraints"), "Symphony");
+      error(errmsg);
+   end
+
+   [xopt,fopt,iter] = symphony_call(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense,options);
+
+endfunction
diff --git a/tests/unit_tests/symphony_base.dia.ref~ b/tests/unit_tests/symphony_base.dia.ref~
deleted file mode 100644
index 95339e2..0000000
--- a/tests/unit_tests/symphony_base.dia.ref~
+++ /dev/null
@@ -1,52 +0,0 @@
-// Copyright (C) 2015 - IIT Bombay - FOSSEE
-//
-// Author: Harpreet Singh
-// Organization: FOSSEE, IIT Bombay
-// Email: harpreet.mertia@gmail.com
-//
-// This file must be used under the terms of the CeCILL.
-// This source file is licensed as described in the file COPYING, which
-// you should have received as part of this distribution.  The terms
-// are also available at
-// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
-// <-- JVM NOT MANDATORY -->
-// <-- ENGLISH IMPOSED -->
-//
-// assert_close --
-//   Returns 1 if the two real matrices computed and expected are close,
-//   i.e. if the relative distance between computed and expected is lesser than epsilon.
-// Arguments
-//   computed, expected : the two matrices to compare
-//   epsilon : a small number
-//
-function flag = assert_close ( computed, expected, epsilon )
-  if expected==0.0 then
-    shift = norm(computed-expected);
-  else
-    shift = norm(computed-expected)/norm(expected);
-  end
-//  if shift < epsilon then
-//    flag = 1;
-//  else
-//    flag = 0;
-//  end
-//  if flag <> 1 then bugmes();quit;end
-    flag = assert_checktrue ( shift < epsilon );
-endfunction
-//
-// assert_equal --
-//   Returns 1 if the two real matrices computed and expected are equal.
-// Arguments
-//   computed, expected : the two matrices to compare
-//   epsilon : a small number
-//
-//function flag = assert_equal ( computed , expected )
-//  if computed==expected then
-//    flag = 1;
-//  else
-//    flag = 0;
-//  end
-//  if flag <> 1 then bugmes();quit;end
-//endfunction
-
-