生成雅可比迭代python代码

很高兴为您服务！以下是生成雅可比迭代Python代码的示例：

def jacobi(A, b, x0, tol=1e-8, maxiter=100):
    """ Perform Jacobi iteration to solve Ax=b.

    Parameters:
    -----------
    A : array (n, n)
        Matrix A in the system Ax = b.
    b : array (n,)
        Array b in the system Ax = b.
    x0 : array (n,)
        Initial guess for the solution.
    tol : float, optional
        Tolerance for convergence.
    maxiter : int, optional
        Maximum number of iterations.

    Returns:
    --------
    array (n,)
    Solution to the system Ax = b.
    """

    n = len(b)
    x = x0.copy()
    for k in range(maxiter):
        xprev = x.copy()
        for i in range(n):
            s = 0
            for j in range(n):
                if j != i:
                    s += A[i, j] * xprev[j]
            x[i] = (b[i] - s) / A[i, i]
        if np.linalg.norm(x - xprev) < tol:
            return x
    raise ValueError("No convergence after {} iterations".format(maxiter))

希望这能帮助您回答您的问题！