C#，数值计算——插值和外推，Powvargram的计算方法与源程序

深度混淆2023-11-25 8:58

1 文本格式

using System;

namespace Legalsoft.Truffer

{

/// <summary>

/// Functor for variogram v(r)=ar^b,

/// where b is specified, a is fitted from the data.

/// </summary>

public class Powvargram

{

private double alph { get; set; }

private double bet { get; set; }

private double nugsq { get; set; }

public Powvargram(double[,] x, double[] y, double beta = 1.5, double nug = 0.0)

{

this.bet = beta;

this.nugsq = nug * nug;

int npt = x.GetLength(0);

int ndim = x.GetLength(1);

double num = 0.0;

double denom = 0.0;

for (int i = 0; i < npt; i++)

{

for (int j = i + 1; j < npt; j++)

{

double rb = 0.0;

for (int k = 0; k < ndim; k++)

{

rb += Globals.SQR(x[i, k] - x[j, k]);

}

rb = Math.Pow(rb, 0.5 * beta);

num += rb * (0.5 * Globals.SQR(y[i] - y[j]) - nugsq);

denom += Globals.SQR(rb);

}

alph = num / denom;

}

public double functorMethod(double r)

{

return nugsq + alph * Math.Pow(r, bet);

}

2 代码格式

cs 复制代码

using System;

namespace Legalsoft.Truffer
{
    /// <summary>
    /// Functor for variogram v(r)=ar^b, 
    /// where b is specified, a is fitted from the data.
    /// </summary>
    public class Powvargram
    {
        private double alph { get; set; }
        private double bet { get; set; }
        private double nugsq { get; set; }

        public Powvargram(double[,] x, double[] y, double beta = 1.5, double nug = 0.0)
        {
            this.bet = beta;
            this.nugsq = nug * nug;

            int npt = x.GetLength(0);
            int ndim = x.GetLength(1);
            double num = 0.0;
            double denom = 0.0;
            for (int i = 0; i < npt; i++)
            {
                for (int j = i + 1; j < npt; j++)
                {
                    double rb = 0.0;
                    for (int k = 0; k < ndim; k++)
                    {
                        rb += Globals.SQR(x[i, k] - x[j, k]);
                    }
                    rb = Math.Pow(rb, 0.5 * beta);
                    num += rb * (0.5 * Globals.SQR(y[i] - y[j]) - nugsq);
                    denom += Globals.SQR(rb);
                }
            }
            alph = num / denom;
        }

        public double functorMethod(double r)
        {
            return nugsq + alph * Math.Pow(r, bet);
        }
    }
}