using System;
using System.Collections.Generic;
using System.Collections;
using System.Text;
using CategoryTheory;
using DiagramUI;
using FormulaEditor;
using GeneralLinearMethod;
using AnalyticPolynom;
using DataPerformer.Interfaces;
namespace DataPerformer
{
/// <summary>
/// Structured formula calculator
/// </summary>
public class FormulaStructuredCalculator : IStructuredCalculation
{
/// <summary>
/// Selection
/// </summary>
private IArgumentSelection selection;
/// <summary>
/// Formula
/// </summary>
private VectorFormulaConsumer formula;
private IMeasurements measurements;
private int vectorDimension;
private string[] variables;
private ArrayList parameters;
/// <summary>
/// Constructor
/// </summary>
/// <param name="selection">Selection</param>
/// <param name="formula">Formula</param>
public FormulaStructuredCalculator(IArgumentSelection selection, VectorFormulaConsumer formula)
{
this.formula = formula;
this.selection = selection;
vectorDimension = selection.VectorDimension;
measurements = formula;
if (vectorDimension != measurements.Count)
{
throw new Exception("Illegal dimension");
}
variables = selection.Variables;
IList<string> l = formula.AliasNames;
parameters = new ArrayList();
foreach (string n in l)
{
parameters.Add(n);
}
foreach (string str in variables)
{
if (!parameters.Contains(str))
{
throw new Exception("Illegal variable");
}
parameters.Remove(str);
}
parameters.Sort();
}
/// <summary>
/// Calculates parameters
/// </summary>
/// <param name="x">Input</param>
/// <param name="selection">Selection</param>
/// <param name="y">Output</param>
public void Calculate(double[] x, IStructuredSelection selection, double?[] y)
{
for (int i = 0; i < parameters.Count; i++)
{
string s = parameters[i] as string;
formula[s] = x[i];
}
for (int i = 0; i < this.selection.PointsCount; i++)
{
int k = i * vectorDimension;
foreach (string s in variables)
{
formula[s] = this.selection[i, s];
}
formula.Reset();
formula.UpdateMeasurements();
for (int j = 0; j < measurements.Count; j++)
{
y[k + j] = (double)measurements[j].Parameter();
}
}
}
/// <summary>
/// Dimension of estimated vector
/// </summary>
public int Dimension
{
get
{
return parameters.Count;
}
}
/// <summary>
/// Parametes
/// </summary>
public ArrayList Parameters
{
get
{
return parameters;
}
}
/// <summary>
/// Sets i th parameter
/// </summary>
public double this[string s]
{
set
{
formula[s] = value;
}
get
{
return (double) formula[s];
}
}
}
}
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