/// <summary>
/// Creates a new instance of the <see cref="T:SmallDoubleInterpolable"/> class with a specified number of points and a provided interpolator.
/// </summary>
/// <param name="nPoints">The n points.</param>
/// <param name="idi">The doubleInterpolator that this <see cref="T:SmallDoubleInterpolable"/> will use.</param>
public SmallDoubleInterpolable(int nPoints, IDoubleInterpolator idi) : this(nPoints){
m_interpolator = idi;
if (!m_interpolator.HasData)
{
m_interpolator.SetData(m_xVals, m_yVals);
}
}
/// <summary>
/// Creates a new instance of the <see cref="T:SmallDoubleInterpolable"/> class which will contain a specified number of data points.
/// </summary>
/// <param name="nPoints">The number of data points.</param>
public SmallDoubleInterpolable(int nPoints)
{
m_xVals = new double[nPoints];
m_yVals = new double[nPoints];
foreach (double[] da in new[] { m_xVals, m_yVals })
{
for (int i = 0; i < da.Length; i++)
{
da[i] = double.NaN;
}
}
m_nEntries = 0;
m_interpolator = new LinearDoubleInterpolator();
m_interpolator.SetData(m_xVals, m_yVals);
}
/// <summary>
/// Creates and initializes a SmallDoubleInterpolablefrom two arrays of correlated
/// X and Y values.
/// </summary>
/// <param name="xVals">The correlated x values.</param>
/// <param name="yVals">The correlated y values.</param>
/// <param name="idi">The IDoubleInterpolator to be used to discern Y values between known x values.</param>
public SmallDoubleInterpolable(double[] xVals, double[] yVals, IDoubleInterpolator idi) : this(xVals, yVals)
{
m_interpolator = idi;
m_interpolator.SetData(xVals, yVals);
}
