/// <summary>
/// 获取结果
/// </summary>
/// <param name="time"></param>
/// <returns></returns>
public double GetY(Time time)
{
if (LsPolyFit == null)
{
throw new Exception("请Init初始化先！");
}
double xValue = time - FirstTime;
return(LsPolyFit.GetY(xValue));
}
/// <summary>
/// 获取最小二乘多项式拟合。
/// </summary>
/// <param name="order"></param>
/// <returns></returns>
public LsPolyFit GetLsPolyFit(int order)
{
var len = this.Count;
double[] yArray = this.Data.ToArray();
double[] xArray = new double[len];
for (int i = 0; i < len; i++)
{
xArray[i] = i;
}
Geo.Algorithm.LsPolyFit fit = new Geo.Algorithm.LsPolyFit(xArray, yArray, order);
double[] paralist = fit.FitParameters();
return(fit);
}
/// <summary>
/// 多项式拟合。
/// 参数与乘积为从低到高。
/// 注意：拟合参数数量 = 阶次 + 1
/// </summary>
/// <param name="arrayX">数组</param>
/// <param name="arrayY">数组</param>
/// <param name="order">阶次</param>
/// <returns>拟合参数</returns>
public static double[] GetFitParams(double[] arrayX, double[] arrayY, int order)
{
LsPolyFit fit = new LsPolyFit(arrayX, arrayY, order);
return(fit.FitParameters());
}
/// <summary>
/// 字符串显示
/// </summary>
/// <returns></returns>
public override string ToString()
{
return(LsPolyFit.ToString());
}
/// <summary>
/// 初始化
/// </summary>
public void Init()
{
LsPolyFit = new LsPolyFit(this.Order);
LsPolyFit.InitAndFitParams <double>(DicData, m => m);
}