public void IsOverlappingTest( float min1, float max1, float min2, float max2, bool expectedResult )
{
Range range1 = new Range( min1, max1 );
Range range2 = new Range( min2, max2 );
Assert.AreEqual<bool>( expectedResult, range1.IsOverlapping( range2 ) );
}
/// <summary>
/// Initializes a new instance of the <see cref="UniformGenerator"/> class.
/// </summary>
///
/// <param name="range">Random numbers range.</param>
/// <param name="seed">Seed value to initialize random numbers generator.</param>
///
public UniformGenerator( Range range, int seed )
{
rand = new UniformOneGenerator( seed );
min = range.Min;
length = range.Length;
}
public void ToRangeTest( float fMin, float fMax, int iMin, int iMax, bool innerRange )
{
Range range = new Range( fMin, fMax );
IntRange iRange = range.ToIntRange( innerRange );
Assert.AreEqual<int>( iMin, iRange.Min );
Assert.AreEqual<int>( iMax, iRange.Max );
}
public void EqualityOperatorTest( float min1, float max1, float min2, float max2, bool areEqual )
{
Range range1 = new Range( min1, max1 );
Range range2 = new Range( min2, max2 );
Assert.AreEqual( range1.Equals( range2 ), areEqual );
Assert.AreEqual( range1 == range2, areEqual );
Assert.AreEqual( range1 != range2, !areEqual );
}
/// <summary>
/// Constructs a new Nguyen-Widrow Weight initialization.
/// </summary>
///
/// <param name="network">The activation network whose weights will be initialized.</param>
///
public NguyenWidrow(ActivationNetwork network)
{
this.network = network;
int hiddenNodes = network.Layers[0].Neurons.Length;
int inputNodes = network.Layers[0].InputsCount;
randRange = new Range(-0.5f, 0.5f);
beta = 0.7 * Math.Pow(hiddenNodes, 1.0 / inputNodes);
}
/// <summary>
/// Update Y range.
/// </summary>
private void UpdateYRange()
{
float minY = float.MaxValue;
float maxY = float.MinValue;
// walk through all data series
foreach (KeyValuePair <string, DataSeries> kvp in seriesTable)
{
DataSeries series = kvp.Value;
// get data of the series
double[,] data = series.data;
if ((series.updateYRange) && (data != null))
{
for (int i = 0, n = data.GetLength(0); i < n; i++)
{
if (rangeX.IsInside((float)data[i, 0]))
{
float v = (float)data[i, 1];
// check for max
if (v > maxY)
{
maxY = v;
}
// check for min
if (v < minY)
{
minY = v;
}
}
}
}
}
// update Y range, if there are any data
if ((minY != double.MaxValue) || (maxY != double.MinValue))
{
rangeY = new Range(minY, maxY);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="HSLFiltering"/> class.
/// </summary>
///
/// <param name="hue">Range of hue component.</param>
/// <param name="saturation">Range of saturation component.</param>
/// <param name="luminance">Range of luminance component.</param>
///
public HSLFiltering( IntRange hue, Range saturation, Range luminance ) :
this( )
{
this.hue = hue;
this.saturation = saturation;
this.luminance = luminance;
}
/// <summary>
/// Initializes a new instance of the <see cref="YCbCrFiltering"/> class.
/// </summary>
///
/// <param name="yRange">Range of Y component.</param>
/// <param name="cbRange">Range of Cb component.</param>
/// <param name="crRange">Range of Cr component.</param>
///
public YCbCrFiltering( Range yRange, Range cbRange, Range crRange ) :
this( )
{
this.yRange = yRange;
this.cbRange = cbRange;
this.crRange = crRange;
}
/// <summary>
/// Initializes a new instance of the <see cref="OptimizationFunction2D"/> class.
/// </summary>
///
/// <param name="rangeX">Specifies X variable's range.</param>
/// <param name="rangeY">Specifies Y variable's range.</param>
///
public OptimizationFunction2D( Range rangeX, Range rangeY )
{
this.rangeX = rangeX;
this.rangeY = rangeY;
}
/// <summary>
/// Initializes a new instance of the <see cref="UniformGenerator"/> class.
/// </summary>
///
/// <param name="range">Random numbers range.</param>
///
/// <remarks>Initializes random numbers generator with zero seed.</remarks>
///
public UniformGenerator( Range range ) :
this( range, 0 )
{
}
/// <summary>
/// Initializes a new instance of the <see cref="OptimizationFunction1D"/> class.
/// </summary>
///
/// <param name="range">Specifies range for optimization.</param>
///
public OptimizationFunction1D( Range range )
{
this.range = range;
}
/// <summary>
/// Check if the specified range overlaps with the range.
/// </summary>
///
/// <param name="range">Range to check for overlapping.</param>
///
/// <returns><b>True</b> if the specified range overlaps with the range or
/// <b>false</b> otherwise.</returns>
///
public bool IsOverlapping( Range range )
{
return ( ( IsInside( range.min ) ) || ( IsInside( range.max ) ) ||
( range.IsInside( min ) ) || ( range.IsInside( max ) ) );
}
/// <summary>
/// Check if the specified range is inside of the range.
/// </summary>
///
/// <param name="range">Range to check.</param>
///
/// <returns><b>True</b> if the specified range is inside of the range or
/// <b>false</b> otherwise.</returns>
///
public bool IsInside( Range range )
{
return ( ( IsInside( range.min ) ) && ( IsInside( range.max ) ) );
}
/// <summary>
/// Update Y range.
/// </summary>
private void UpdateYRange()
{
float minY = float.MaxValue;
float maxY = float.MinValue;
// walk through all data series
foreach (KeyValuePair<string, DataSeries> kvp in seriesTable)
{
DataSeries series = kvp.Value;
// get data of the series
double[,] data = series.data;
if ((series.updateYRange) && (data != null))
{
for (int i = 0, n = data.GetLength(0); i < n; i++)
{
if (rangeX.IsInside((float)data[i, 0]))
{
float v = (float)data[i, 1];
// check for max
if (v > maxY)
maxY = v;
// check for min
if (v < minY)
minY = v;
}
}
}
}
// update Y range, if there are any data
if ((minY != double.MaxValue) || (maxY != double.MinValue))
{
rangeY = new Range(minY, maxY);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="OptimizationFunction2D"/> class.
/// </summary>
///
/// <param name="rangeX">Specifies X variable's range.</param>
/// <param name="rangeY">Specifies Y variable's range.</param>
///
public OptimizationFunction2D(Range rangeX, Range rangeY)
{
this.rangeX = rangeX;
this.rangeY = rangeY;
}
/// <summary>
/// Initializes a new instance of the <see cref="OptimizationFunction1D"/> class.
/// </summary>
///
/// <param name="range">Specifies range for optimization.</param>
///
public OptimizationFunction1D(Range range)
{
this.range = range;
}
