C#Math.Net-如何正确设置Fit.Curve的参数

我正试图拟合一条曲线来拟合数据，比如

到目前为止，我得到的是：

public IList<OxyPlot.DataPoint> Points { get; private set; }

public MainViewModel()
{

    Points = new List<DataPoint>
    {
        new DataPoint(38  ,  6.5    ),
        new DataPoint(59  ,  7      ),
        new DataPoint(81  ,  8      ),
        new DataPoint(103 ,  12     ),
        new DataPoint(125 ,  12.2   ),
        new DataPoint(147 ,  16     ),
        new DataPoint(168 ,  15.5   ),
        new DataPoint(190 ,  16.5   ),
        new DataPoint(211 ,  18     ),
        new DataPoint(213 ,  19     ),
        new DataPoint(215 ,  18.5   ),
        new DataPoint(219 ,  18     ),
        new DataPoint(221 ,  19     ),
        new DataPoint(224 ,  18.8   ),
        new DataPoint(226 ,  18.3   ),
        new DataPoint(229 ,  18.4   ),
        new DataPoint(231 ,  19.2   ),
        new DataPoint(232 ,  20.4   ),
        new DataPoint(234 ,  19.1   ),
        new DataPoint(235 ,  18.4   ),
        new DataPoint(236 ,  19.8   ),
        new DataPoint(237 ,  19.2   ),
        new DataPoint(238 ,  18.9   ),
        new DataPoint(239 ,  18.8   ),
        new DataPoint(240 ,  18.2   ),
        new DataPoint(241 ,  16     ),
        new DataPoint(242 ,  12     ),
        new DataPoint(243 ,  9      ),
        new DataPoint(244 ,  5      ),
        new DataPoint(245 ,  2      ),
        new DataPoint(246 ,  1      ),
        new DataPoint(247 ,  0      ),
        new DataPoint(248 ,  0      ),
    };


    var f = new Func<double, double, double, double>((x, A, B) => A * x + B * x + A * B * x * x);

    var result = Fit.Curve(Points.Select(p => p.X).ToArray(), Points.Select(p => p.Y).ToArray(),  f , 20.0) ;

1） 如果你在这里得不到答案，也许那边的人可以帮忙。2） 它是一条曲线，还是与截止点的线性关系？给定“非线性最小二乘拟合点（x，y）到任意函数y:x->f（p，x），返回其最佳拟合参数p，”

initialGuess

将是您对p值的初始猜测。假设你知道y=a（x*x）和2.7f（p，x），返回其最佳拟合参数p，”

initialGuess

将是您对p值的初始猜测。假设你知道y=a（x*x）和2.7Func<double, double, double> f,

double initialGuess