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using System;
using System.Collections.Generic;
using System.Collections;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Text;
using System.Windows.Forms;
using CategoryTheory;
using DiagramUI;
using Regression;
using DataPerformer;
using GeneralLinearMethod;
namespace DataPerformerUI
{
public partial class FormAliasRegression : Form, IUpdatableForm
{
private IObjectLabel label;
private AliasRegression regression;
private FormAliasRegression()
{
InitializeComponent();
}
public FormAliasRegression(IObjectLabel label)
: this()
{
ResourceService.Resources.LoadControlResources(this);
this.label = label;
regression = label.Object as AliasRegression;
UpdateFormUI();
createAliasPanels(regression.Aliases.Count);
fillAliasPanels();
fillSelections();
createMeasurementsPanel();
measurements = regression.MeasuresNames;
Hashtable t = regression.Aliases;
if (t != null)
{
numericUpDownAliases.Value = t.Count;
}
}
#region IUpdatableForm Members
public void UpdateFormUI()
{
Text = label.Name;
}
#endregion
private void createAliasPanels(int count)
{
List<string> al = new List<string>();
DataConsumer.GetAliases(regression, al);
panelAliases.Controls.Clear();
int y = 0;
for (int i = 0; i < count; i++)
{
RegressionAliasPanel panel = new RegressionAliasPanel(al);
panel.Top = y;
panel.Left = 0;
panel.Width = panelAliases.Width;
y += panel.Height;
panelAliases.Controls.Add(panel);
Panel pan = new Panel();
pan.Height = 3;
pan.BackColor = Color.Black;
pan.Top = y;
pan.Width = panelAliases.Width;
pan.Left = 0;
panelAliases.Controls.Add(pan);
y += pan.Height;
}
}
private void fillAliasPanels()
{
int i = 0;
Hashtable t = regression.Aliases;
foreach (Control c in panelAliases.Controls)
{
if (!(c is RegressionAliasPanel))
{
continue;
}
RegressionAliasPanel p = c as RegressionAliasPanel;
p.Object = t[i] as object[];
++i;
}
}
private Hashtable aliases
{
get
{
int i = 0;
Hashtable t = new Hashtable();
foreach (Control c in panelAliases.Controls)
{
if (!(c is RegressionAliasPanel))
{
continue;
}
RegressionAliasPanel p = c as RegressionAliasPanel;
t[i] = p.Object;
++i;
}
return t;
}
}
private void createMeasurementsPanel()
{
int y = 0;
Hashtable t = regression.MeasuresNames;
IDataConsumer cons = regression as IDataConsumer;
for (int i = 0; i < cons.Count; i++)
{
IMeasurements m = regression[i];
RegessionAliasMeasurePanel panel = new RegessionAliasMeasurePanel(m);
panel.Table = t;
panel.Top = y;
panel.Left = 0;
panel.Width = panelMeasurements.Width;
panel.Table = t;
panelMeasurements.Controls.Add(panel);
y += panel.Height;
Panel pan = new Panel();
pan.Height = 3;
pan.BackColor = Color.Black;
pan.Top = y;
pan.Width = panelMeasurements.Width;
pan.Left = 0;
panelMeasurements.Controls.Add(pan);
y += pan.Height;
}
}
private Hashtable measurements
{
get
{
Hashtable table = new Hashtable();
foreach (Control c in panelMeasurements.Controls)
{
if (!(c is RegessionAliasMeasurePanel))
{
continue;
}
RegessionAliasMeasurePanel p = c as RegessionAliasMeasurePanel;
Hashtable t = p.Table;
foreach (int i in t.Keys)
{
table[i] = t[i];
}
}
return table;
}
set
{
foreach (Control c in panelMeasurements.Controls)
{
if (!(c is RegessionAliasMeasurePanel))
{
continue;
}
RegessionAliasMeasurePanel p = c as RegessionAliasMeasurePanel;
p.Table = value;
}
}
}
private void fillSelections()
{
List<IStructuredSelectionCollection> sel = regression.Selections;
Hashtable t = regression.SelectionsNames;
int y = 0;
foreach (IStructuredSelectionCollection s in sel)
{
RegressionSelectionPanel panel = new RegressionSelectionPanel(regression, s);
panel.Width = panelSelections.Width;
panel.Left = 0;
panel.Top = y;
panelSelections.Controls.Add(panel);
panel.Table = t;
y += panel.Height;
Panel pan = new Panel();
pan.Height = 3;
pan.BackColor = Color.Black;
pan.Top = y;
pan.Width = panelSelections.Width;
pan.Left = 0;
panelSelections.Controls.Add(pan);
y += pan.Height;
}
}
private Hashtable selections
{
get
{
Hashtable t = new Hashtable();
foreach (Control c in panelSelections.Controls)
{
if (!(c is RegressionSelectionPanel))
{
continue;
}
RegressionSelectionPanel p = c as RegressionSelectionPanel;
p.Fill(t);
}
return t;
}
}
private void buttonAcceptAliasesNumber_Click(object sender, EventArgs e)
{
int n = (int)numericUpDownAliases.Value;
createAliasPanels(n);
}
private void buttonAccept_Click(object sender, EventArgs e)
{
try
{
regression.Aliases = aliases;
regression.MeasuresNames = measurements;
regression.SelectionsNames = selections;
regression.Init();
}
catch (Exception ex)
{
DefaultForm.ShowError(this, ex);
}
}
private void buttonIterate_Click(object sender, EventArgs e)
{
try
{
regression.UpdateSelections();
DataPerformerStrategy.Object.PrepareAll(label.Desktop);
double s = regression.Iterate();
regression.SetAliases();
labelSigma0.Text = Math.Sqrt(regression.SquareResidual / regression.DataDimension) + "";
}
catch (Exception ex)
{
DefaultForm.ShowError(this, ex);
}
}
}
}
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Ph. D. Petr Ivankov worked as scientific researcher at Russian Mission Control Centre since 1978 up to 2000. Now he is engaged by Aviation training simulators http://dinamika-avia.com/ . His additional interests are:
1) Noncommutative geometry
http://front.math.ucdavis.edu/author/P.Ivankov
2) Literary work (Russian only)
http://zhurnal.lib.ru/editors/3/3d_m/
3) Scientific articles
http://arxiv.org/find/all/1/au:+Ivankov_Petr/0/1/0/all/0/1