diff options
Diffstat (limited to 'macros/symphonymat.sci')
| -rw-r--r-- | macros/symphonymat.sci | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/macros/symphonymat.sci b/macros/symphonymat.sci index 9e1ffaf..33a1163 100644 --- a/macros/symphonymat.sci +++ b/macros/symphonymat.sci @@ -20,7 +20,7 @@ function [xopt,fopt,status,iter] = symphonymat (varargin) // [xopt,fopt,status,output] = symphonymat( ... ) // // Parameters - // f : a vector of doubles, where n is number of variables, contains coefficients of the variables in the objective + // f : a vector of doubles, contains coefficients of the variables in the objective // intcon : 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. // A : Linear inequality constraint matrix, specified as a matrix of doubles. A represents the linear coefficients in the constraints A*x ≤ b. A has size M-by-N, where M is the number of constraints and N is number of variables // b : Linear inequality constraint vector, specified as a vector of doubles. b represents the constant vector in the constraints A*x ≤ b. b has length M, where A is M-by-N @@ -29,8 +29,9 @@ function [xopt,fopt,status,iter] = symphonymat (varargin) // lb : Lower bounds, specified as a vector or array of doubles. lb represents the lower bounds elementwise in lb ≤ x ≤ ub. // ub : Upper bounds, specified as a vector or array of doubles. ub represents the upper bounds elementwise in lb ≤ x ≤ ub. // options : a list containing the the parameters to be set. - // xopt : a 1xn matrix of doubles, the computed solution of the optimization problem - // fopt : a 1x1 matrix of doubles, the function value at x + // xopt : a vector of double, the computed solution of the optimization problem + // fopt : a doubles, the function value at x + // status : status flag from symphony. // output : The output data structure contains detailed informations about the optimization process. // // Description |