如何将二维数组绑定到 Solver Foundation 中的参数?尝试将数组定义为 double(,); 作为 double()() 和元组列表 (double, i, j)。
我也尝试实现 SetBinding 的扩展方法,这里建议;http://blogs.msdn.com/b/solverfoundation/archive/2010/06/28/simpler-data-binding-using-linq-and-extension-methods.aspx
目前在倒数第三行失败;m_cov.SetBinding(CovMatrix),出现错误“此方法仅在对具有 0 索引的参数调用时有效”
我正在使用最新版本并在 vb.net 中工作。任何帮助表示赞赏。
谢谢,尤格
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