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          December 21, 2015 05:08 
        
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    trying to use MSF
  
        
  
    
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  | // just a wrapper around double value, indexed | |
| class DV | |
| { | |
| public DV(int i, double value) | |
| { | |
| Id = i; | |
| T = value; | |
| } | |
| public double Id { get; set; } | |
| public double T { get; set; } | |
| } | |
| void Solve() | |
| { | |
| var context = SolverContext.GetContext(); | |
| var model = context.CreateModel(); | |
| Decision a1 = new Decision(Domain.RealNonnegative, "a1"); | |
| Decision tau1 = new Decision(Domain.RealNonnegative, "tau1"); | |
| // inputParameters from GUI | |
| a1.SetInitialValue(inputParameters[0]); | |
| tau1.SetInitialValue(inputParameters[1]); | |
| model.AddDecisions(a1, tau1); | |
| model.AddConstraints("limits", 0 <= a1 <= 1); // not sure | |
| Set tset = new Set(Domain.RealNonnegative, "tSet"); | |
| Parameter t = new Parameter(Domain.RealNonnegative, "T", tset); | |
| t.SetBinding(data[yi, xi].Select((o, i) => new DV(i, o)).ToArray(), "T", "Id"); | |
| model.AddParameter(t); | |
| model.AddGoal("goal", | |
| GoalKind.Minimize, // not sure | |
| Model.Sum(Model.ForEach(tset, ti => a1*Model.Exp(-ti/tau1)))); // simplified formula | |
| var solution = context.Solve(); | |
| } | 
  
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