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import numpy as np def f(x): return (abs(x + 1) - abs(x - 1)) / 2 + np.sin(x) def g(x): return (abs(x + 3) - abs(x - 3)) / 2 + np.cos(x) # 假设我们有一些初始猜测值(这里只是随机选择的)
x1_guess = 0.5
x2_guess = 1.0
y1_guess = 0.2
y2_guess = 0.3 # 定义方程组矩阵A和向量b
def create_system(x1, x2, y1, y2): A = np.array([ [0, 0, 3*f(y1), 4*g(y2)], [2, 0, 2*f(y1), 6*g(y2)], [f(x1), 3*g(x2), -1, 0], [4*f(x1), g(x2), 0, -1], [1, -3, 0, -10*f(y1)], ]) b = np.array([-1, -2, -3, -1, 2]) return A, b # 使用初始猜测值来创建方程组
A, b = create_system(x1_guess, x2_guess, y1_guess, y2_guess) # 使用numpy.linalg.lstsq求解最小二乘解
sol, residuals, rank, s = np.linalg.lstsq(A, b, rcond=None) print("最小二乘解:")
print("x1 =", sol[0])
print("x2 =", sol[1])
print("y1 =", sol[2])
print("y2 =", sol[3])
print("残差平方和:", residuals[0])print("学号:2023310143004")