How to bind a 2D array to a parameter in Solver Foundation? Have tried defining the array as double(,); as double()() and as a list of tuples(double, i, j).
I have also tried to implement the extension methods to SetBinding, suggested here; http://blogs.msdn.com/b/solverfoundation/archive/2010/06/28/simpler-data-binding-using-linq-and-extension-methods.aspx
Currently fails at third line to bottom; m_cov.SetBinding(CovMatrix), with error "This method is only valid when called on parameters with 0 indexes"
I'm using latest version and working in vb.net. Any help appreciated.
Thanks, Yug
Public Sub ERC()
Dim m_i = New [Set](Domain.Any, "I")
Dim m_j = New [Set](Domain.Any, "J")
'Dim m_allocation As Decision
Dim CovMatrix As Double()() = {New Double() {0.1, 0.15, 0.4}, New Double() {0.3, 0.5, 0.8}, New Double() {0, 0.33, 0.05}}
Dim m_context As SolverContext = SolverContext.GetContext()
Dim m_model As Model = m_context.CreateModel()
m_model.Name = "ERC"
' Create a Parameter for Cov
Dim m_cov = New Parameter(Domain.Real, "Cov", m_i, m_j)
m_model.AddParameter(m_cov)
' Create a Decision for Allocation
Dim m_allocation As Decision = New Decision(Domain.RealRange(-1.0, 1.0), "Allocation", m_i)
m_model.AddDecision(m_allocation)
' Add Constraint for SumWts
m_model.AddConstraint("SumWts", (Model.Sum(Model.ForEach(m_i, Function(i_1) Model.Abs(Model.Sum(m_allocation(i_1)))))) = 1.0)
' Add Goal for Variance
m_model.AddGoal("Variance", GoalKind.Minimize, Model.Sum(Model.ForEach(m_i, Function(i_2) Model.ForEach(m_j, Function(j_3) Model.Power((Model.Abs(Model.Sum(Model.ForEach(m_j, Function(j_4) Model.Product(m_cov(i_2, j_4), m_allocation(j_4), m_allocation(i_2))))) - Model.Abs(Model.Sum(Model.ForEach(m_j, Function(j_6) Model.Product(m_cov(j_3, j_6), m_allocation(j_6), m_allocation(j_3)))))), 2.0)))))
m_cov.SetBinding(CovMatrix)
m_context.Solve()
Debug.Print(m_allocation.GetValuesByIndex().ToString)
End Sub