/// <summary>
/// Prepares minimization by all function parameters
/// </summary>
/// <returns>true if preparation successful</returns>
public bool PrepareMinimizationFull()
{
if (Data == null)
{
return(false);
}
if (m_Update_Ongoing)
{
return(false);
}
if (Data.Solution.SelectedFunction == null)
{
return(false);
}
PrepareMinimizationData();
NMO = new Nelder_Mead_Optimization(3,
Data.Solution.SelectedFunction.GetParameters(),
Data.Solution.SelectedFunction.GetLowerLimits(),
Data.Solution.SelectedFunction.GetUpperLimits(), 1000);
NMO.onObjectiveFunction += new Nelder_Mead_Optimization.ObjectiveFunctionDelegate(TargetFunction2);
NMO.onReportProgress += new Nelder_Mead_Optimization.ProgressReportDelegate(ReportProgress);
return(true);
}
/// <summary>
/// Prepares minimization by user-selected parameters
/// </summary>
/// <returns>true if preparation successful</returns>
public bool PrepareMinimizationPartial()
{
if (Data == null)
{
return(false);
}
if (m_Update_Ongoing)
{
return(false);
}
if (Data.Solution.SelectedFunction == null)
{
return(false);
}
if (dataGridView2.SelectedRows.Count <= 0)
{
return(false);
}
PrepareMinimizationData();
List <int> Ps = new List <int>();
foreach (DataGridViewRow dgvr in dataGridView2.SelectedRows)
{
Ps.Add(dgvr.Index);
}
m_prmsIndex = Ps.ToArray();
NMO = new Nelder_Mead_Optimization(3,
Data.Solution.SelectedFunction.GetParameters(m_prmsIndex),
Data.Solution.SelectedFunction.GetLowerLimits(m_prmsIndex),
Data.Solution.SelectedFunction.GetUpperLimits(m_prmsIndex), 1000);
NMO.onObjectiveFunction += new Nelder_Mead_Optimization.ObjectiveFunctionDelegate(TargetFunction1);
NMO.onReportProgress += new Nelder_Mead_Optimization.ProgressReportDelegate(ReportProgress);
return(true);
}
