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; }