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Diffstat (limited to 'macros/symphony_mat.sci')
| -rw-r--r-- | macros/symphony_mat.sci | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/macros/symphony_mat.sci b/macros/symphony_mat.sci index dc11101..068e9cf 100644 --- a/macros/symphony_mat.sci +++ b/macros/symphony_mat.sci @@ -17,7 +17,7 @@ function [xopt,fopt,status,iter] = symphony_mat (varargin) // xopt = symphony_mat(f,intcon,A,b,Aeq,beq) // xopt = symphony_mat(f,intcon,A,b,Aeq,beq,lb,ub) // xopt = symphony_mat(f,intcon,A,b,Aeq,beq,lb,ub,options) - // [xopt,fopt,iter] = symphony_mat( ... ) + // [xopt,fopt,status,output] = symphony_mat( ... ) // // Parameters // f : a 1xn matrix of doubles, where n is number of variables, contains coefficients of the variables in the objective @@ -31,22 +31,22 @@ function [xopt,fopt,status,iter] = symphony_mat (varargin) // 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 - // iter : a 1x1 matrix of doubles, contains the number od iterations done by symphony + // output : The output data structure contains detailed informations about the optimization process. // // 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) \\ - // \mbox{subject to} & c(x) \leq 0 \\ - // & c_{eq}(x) = 0 \\ - // & Ax \leq b \\ - // & A_{eq} x = b_{eq} \\ - // & lb \leq x \leq ub + // \begin{eqnarray} + // &\mbox{min}_{x} + // & f(x) \\ + // & \text{subject to} & conLB \leq C(x) \leq conUB \\ + // & & lb \leq x \leq ub \\ // \end{eqnarray} - // </latex> + // </latex> + // + // We are calling SYMPHONY written in C by gateway files for the actual computation. SYMPHONY was originally written by Ted Ralphs, Menal Guzelsoy and Ashutosh Mahajan. // // Examples // // Objective function |