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感觉标准答案有点问题

import numpy as np def gauss_seidel(A, b, n, x_ini=None): x = x_ini or np.zeros_like(b) row, col =np.shape(A) for _ in range(n): ...

2025-07-28

0 30

题解 | 矩阵变换

import numpy as np def transform_matrix(A,T,S): # 补全代码 if np.linalg.det(T) == 0 or np.linalg.det(S) == 0: return -1 T_inv_A = np.d...

2025-07-25

0 53

题解 | 实现压缩行稀疏矩阵（CSR）格式转换

def compressed_row_sparse_matrix(dense_matrix): vocter = [item for subvc in dense_matrix for item in subvc] vals = [] col_idx = [] row...

2025-07-25

0 45

高效压缩，比标准答案更快

def compressed_col_sparse_matrix(dense_matrix): dense_matrix_T = [list(a) for a in zip(*dense_matrix)] vocter = [item for sublist in dense_mat...

2025-07-25

0 42

题解 | 实现向量到直线的正交投影

import numpy as np def orthogonal_projection(v, L): v = np.array(v) L = np.array(L) C = np.dot(v, L.T)/np.linalg.norm(L) D = C*L ...

2025-07-25

0 67

题解 | 计算协方差矩阵

import numpy as np def calculate_covariance_matrix(vectors): # 补全代码 fist_array = np.array(vectors) n = fist_array.shape[1] means = np...

2025-07-24

2 50