diff options
Diffstat (limited to 'macros')
-rw-r--r-- | macros/symphony.sci~ | 136 |
1 files changed, 98 insertions, 38 deletions
diff --git a/macros/symphony.sci~ b/macros/symphony.sci~ index d5c8e44..4b11ae8 100644 --- a/macros/symphony.sci~ +++ b/macros/symphony.sci~ @@ -19,20 +19,20 @@ function [xopt,fopt,status,output] = symphony (varargin) // [xopt,fopt,status,output] = 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 - // options : a 1xq marix of string, provided to set the paramters in symphony - // xopt : a 1xn matrix of doubles, the computed solution of the optimization problem - // fopt : a 1x1 matrix of doubles, the function value at x - // status : status flag from symphony + // nbVar : a double, number of variables. + // nbCon : a double, number of constraints. + // objCoeff : a 1 x n matrix of doubles, where n is number of variables, represents coefficients of the variables in the objective. + // isInt : a vector of boolean, represents wether a variable is constrained to be an integer. + // LB : a vector of doubles, represents lower bounds of the variables. + // UB : a vector of doubles, represents upper bounds of the variables. + // conMatrix : a matrix of doubles, represents matrix representing the constraint matrix. + // conLB : a vector of doubles, represents lower bounds of the constraints. + // conUB : a vector of doubles, represents upper bounds of the constraints + // objSense : The sense (maximization/minimization) of the objective. Use 1(sym_minimize ) or -1 (sym_maximize) here. + // options : a a list containing the the parameters to be set. + // xopt : a vector of doubles, the computed solution of the optimization problem. + // fopt : a double, the function value at x. + // status : status flag from symphony. // output : The output data structure contains detailed informations about the optimization process. // // Description @@ -53,11 +53,11 @@ function [xopt,fopt,status,output] = symphony (varargin) // Examples // //A basic case : // // Objective function - // c = [350*5,330*3,310*4,280*6,500,450,400,100] + // c = [350*5,330*3,310*4,280*6,500,450,400,100]'; // // Lower Bound of variable - // lb = repmat(0,1,8); + // lb = repmat(0,8,1); // // Upper Bound of variables - // ub = [repmat(1,1,4) repmat(%inf,1,4)]; + // ub = [repmat(1,4,1);repmat(%inf,4,1)]; // // Constraint Matrix // conMatrix = [5,3,4,6,1,1,1,1; // 5*0.05,3*0.04,4*0.05,6*0.03,0.08,0.07,0.06,0.03; @@ -90,7 +90,7 @@ function [xopt,fopt,status,output] = symphony (varargin) // 957 798 669 625 467 1051 552 717 654 388 559 555 1104 783 .. // 959 668 507 855 986 831 821 825 868 852 832 828 799 686 .. // 510 671 575 740 510 675 996 636 826 1022 1140 654 909 799 .. - // 1162 653 814 625 599 476 767 954 906 904 649 873 565 853 1008 632] + // 1162 653 814 625 599 476 767 954 906 904 649 873 565 853 1008 632]'; // //Constraint Matrix // conMatrix = [ // //Constraint 1 @@ -137,16 +137,16 @@ function [xopt,fopt,status,output] = symphony (varargin) // nbCon = size(conMatrix,1) // nbVar = size(conMatrix,2) // // Lower Bound of variables - // lb = repmat(0,1,nbVar) + // lb = repmat(0,nbVar,1) // // Upper Bound of variables - // ub = repmat(1,1,nbVar) + // ub = repmat(1,nbVar,1) // // Row Matrix for telling symphony that the is integer or not // isInt = repmat(%t,1,nbVar) // // Lower Bound of constrains // conLB=repmat(0,nbCon,1); // // Upper Bound of constraints // conUB=[11927 13727 11551 13056 13460 ]'; - // options = ["time_limit" "25"] + // options = list("time_limit", 25); // // The expected solution : // // Output variables // xopt = [0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 1 .. @@ -185,43 +185,103 @@ function [xopt,fopt,status,output] = symphony (varargin) objSense = varargin(10); end - if (rhs<11) then + if (rhs<11|size(varargin(11))==0) then options = list(); else options = varargin(11); end - -//Check the size of constraint which should equal to the number of constraints - if ( size(conMatrix,1) ~= nbCon) then - errmsg = msprintf(gettext("%s: The Lower Bound is not equal to the number of variables"), "Symphony"); +// Check if the user gives row vector +// and Changing it to a column matrix + + if (size(isInt,2)== [nbVar]) then + isInt = isInt'; + end + + if (size(LB,2)== [nbVar]) then + LB = LB'; + end + + if (size(UB,2)== [nbVar]) then + UB = UB'; + end + + if (size(conLB,2)== [nbVar]) then + conLB = conLB'; + end + + if (size(conUB,2)== [nbVar]) then + conUB = conUB'; + end + + + if (size(objCoef,2)~=1) then + errmsg = msprintf(gettext("%s: Objective Coefficients should be a column matrix"), "Symphony"); + error(errmsg); + end + + if (size(objCoef,1)~=nbVar) then + errmsg = msprintf(gettext("%s: Number of variables in Objective Coefficients is not equal to number of variables given"), "Symphony"); + error(errmsg); + end + + //Check the size of isInt which should equal to the number of variables + if(size(isInt,1)~=nbVar) then + errmsg = msprintf(gettext("%s: The size of isInt is not equal to the number of variables"), "Symphony"); + error(errmsg); + end + + //Check the size of lower bound of inequality constraint which should equal to the number of constraints + if ( size(conLB,1) ~= nbCon) then + errmsg = msprintf(gettext("%s: The Lower Bound of constraint is not equal to the number of constraint"), "Symphony"); error(errmsg); end -//Check the size of Lower Bound which should equal to the number of variables - if ( size(LB,2) ~= nbVar) then - errmsg = msprintf(gettext("%s: The Lower Bound is not equal to the number of variables"), "Symphony"); + //Check the size of lower bound of inequality constraint which should equal to the number of constraints + if ( size(conUB,1) ~= nbCon) then + errmsg = msprintf(gettext("%s: The Upper Bound of constraint is not equal to the number of constraint"), "Symphony"); error(errmsg); end -//Check the size of Upper Bound which should equal to the number of variables - if ( size(UB,2) ~= nbVar) then - errmsg = msprintf(gettext("%s: The Upper Bound is not equal to the number of variables"), "Symphony"); + //Check the row of constraint which should equal to the number of constraints + if ( size(conMatrix,1) ~= nbCon) then + errmsg = msprintf(gettext("%s: The number of rows in constraint should be equal to the number of constraints"), "Symphony"); error(errmsg); end -//Check the size of constraints of Lower Bound which should equal to the number of constraints - if ( size(conLB,1) ~= nbCon) then - errmsg = msprintf(gettext("%s: The Lower Bound of constraints is not equal to the number of constraints"), "Symphony"); + //Check the column of constraint which should equal to the number of variables + if ( size(conMatrix,2) ~= nbVar) then + errmsg = msprintf(gettext("%s: The number of columns in constraint should equal to the number of variables"), "Symphony"); error(errmsg); end -//Check the size of constraints of Upper Bound which should equal to the number of constraints - if ( size(conUB,1) ~= nbCon) then - errmsg = msprintf(gettext("%s: The Upper Bound of constraints is not equal to the number of constraints"), "Symphony"); + //Check the size of Lower Bound which should equal to the number of variables + if ( size(LB,1) ~= 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,1) ~= nbVar) then + errmsg = msprintf(gettext("%s: The Upper Bound is not equal to the number of variables"), "Symphony"); + error(errmsg); + end + + if (type(options) ~= 15) then + errmsg = msprintf(gettext("%s: Options should be a list "), "Symphony"); + error(errmsg); + end + + if (modulo(size(options),2)) then + errmsg = msprintf(gettext("%s: Size of parameters should be even"), "Symphony"); + error(errmsg); + end + + LB = LB'; + UB = UB'; + isInt = isInt'; + objCoef = objCoef'; + [xopt,fopt,status,output] = symphony_call(nbVar,nbCon,objCoef,isInt,LB,UB,conMatrix,conLB,conUB,objSense,options); endfunction |