三次样条插值自然边界C语言实现
时间: 2023-07-07 18:10:55 浏览: 114
三次样条函数C语言
三次样条插值是一种用于数据插值和曲线拟合的方法,它可以根据给定的数据点构造出一条光滑的曲线。自然边界是指在样条曲线的两个端点处,曲线的二阶导数为0。
以下是三次样条插值自然边界的C语言实现:
```c
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
void cubic_spline(double *x, double *y, int n, double *a, double *b, double *c, double *d)
{
double *h = (double*)malloc(sizeof(double) * n);
double *alpha = (double*)malloc(sizeof(double) * n);
double *l = (double*)malloc(sizeof(double) * n);
double *mu = (double*)malloc(sizeof(double) * n);
double *z = (double*)malloc(sizeof(double) * n);
int i;
for (i = 0; i < n - 1; i++)
{
h[i] = x[i + 1] - x[i];
}
for (i = 1; i < n - 1; i++)
{
alpha[i] = 3 * (y[i + 1] - y[i]) / h[i] - 3 * (y[i] - y[i - 1]) / h[i - 1];
}
l[0] = 1;
mu[0] = 0;
z[0] = 0;
for (i = 1; i < n - 1; i++)
{
l[i] = 2 * (x[i + 1] - x[i - 1]) - h[i - 1] * mu[i - 1];
mu[i] = h[i] / l[i];
z[i] = (alpha[i] - h[i - 1] * z[i - 1]) / l[i];
}
l[n - 1] = 1;
z[n - 1] = 0;
c[n - 1] = 0;
for (i = n - 2; i >= 0; i--)
{
c[i] = z[i] - mu[i] * c[i + 1];
b[i] = (y[i + 1] - y[i]) / h[i] - h[i] * (c[i + 1] + 2 * c[i]) / 3;
d[i] = (c[i + 1] - c[i]) / (3 * h[i]);
a[i] = y[i];
}
free(h);
free(alpha);
free(l);
free(mu);
free(z);
}
double spline_interpolate(double *x, double *y, int n, double xi)
{
double *a = (double*)malloc(sizeof(double) * n);
double *b = (double*)malloc(sizeof(double) * n);
double *c = (double*)malloc(sizeof(double) * n);
double *d = (double*)malloc(sizeof(double) * n);
cubic_spline(x, y, n, a, b, c, d);
int i;
double yi, hi, xi2, xi3;
for (i = 0; i < n - 1; i++)
{
if (xi >= x[i] && xi <= x[i + 1])
{
hi = x[i + 1] - x[i];
xi2 = pow(xi - x[i], 2);
xi3 = pow(xi - x[i], 3);
yi = a[i] + b[i] * (xi - x[i]) + c[i] * xi2 + d[i] * xi3;
break;
}
}
free(a);
free(b);
free(c);
free(d);
return yi;
}
int main()
{
double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0 };
double y[] = { 0.0, 0.6931, 1.0986, 1.3863, 1.6094 };
int n = 5;
double xi = 2.5;
double yi = spline_interpolate(x, y, n, xi);
printf("f(%lf) = %lf\n", xi, yi);
return 0;
}
```
在这个实现中,`cubic_spline` 函数用于计算样条插值的系数,`spline_interpolate` 函数用于计算插值结果。在 `main` 函数中,我们定义了数据点的横纵坐标,以及需要插值的点的横坐标。运行程序后,会输出插值结果。
需要注意的是,在实际应用中,我们需要根据具体的数据来修改程序中的数据点和插值点,以及系数的计算方法。
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