import numpy as np x = np.array([1,2,3]) D = len(x) y = 1 +(x +1) / 4 def Penalized_1(x,a,k,m): for i in range(D-1): f = (y[i] - 1) ** 2 * (1 + 10 * (np.sin(y[i + 1] * np.pi) ** 2)) for i in range(D): if x[i] > a: u = k * (x[i] - a) ** m elif (-a) <= x[i] <= a: u = 0 else: u = k * (-x[i] - a) ** m rlt = np.pi / D * (10 * (np.sin(y[0] * np.pi)) ** 2 + f + u + (y[D-1] - 1) ** 2) return rlt result = Penalized_1(x,10,100,4) print(result) 转化为matlab代码
时间: 2023-12-18 19:17:29 浏览: 138
最小二乘法-使用Python+Numpy实现的最小二乘法.zip
您好,以下是将您提供的Python代码转换为MATLAB代码的结果:
```matlab
x = [1, 2, 3];
D = length(x);
y = 1 + (x + 1) / 4;
function rlt = Penalized_1(x, a, k, m)
f = 0;
for i = 1:(D-1)
f = f + (y(i) - 1)^2 * (1 + 10 * (sin(y(i + 1) * pi))^2);
end
u = zeros(1, D);
for i = 1:D
if x(i) > a
u(i) = k * (x(i) - a)^m;
elseif abs(x(i)) <= a
u(i) = 0;
else
u(i) = k * (-x(i) - a)^m;
end
end
rlt = pi / D * (10 * (sin(y(1) * pi))^2 + f + sum(u) + (y(D) - 1)^2);
end
result = Penalized_1(x, 10, 100, 4);
disp(result);
```
注意,在MATLAB中,需要在函数定义之前定义所有的变量。此外,Python中的`range()`函数在MATLAB中可以使用`1:N`的形式代替。另外,在MATLAB中,索引从1开始而不是0。
希望能对您有所帮助!
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