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def central_difference(f, x, h):
"""
中心差分法进行数值微分(计算导数)
参数:
- f: 要求导数的函数
- x: 求导点的横坐标
- h: 步长
返回:
- 导数的近似值
"""
df = (f(x + h) - f(x - h)) / (2 * h) # 中心差分法计算导数
return df
def f(x):
return x**2
if __name__ == '__main__':
x = 2 # 求导点的横坐标
h = 0.01 # 步长
df = central_difference(f, x, h)
print("导数的近似值:", df)