Условие:Вам даны две матрицы, нужно написать функцию для их умножения. Матрицы могут быть квадратными или прямоугольными.
Решение: Напишем решение на чистом Python
def matrix_multiply(A, B): # Сначала проверим, можем ли мы вообще перемножить эти матрицы if len(A[0]) != len(B): raise ValueError("Number of A columns must equal number of B rows.")
# Инициализируем результирующую матрицу, заполненную нулями result = [[0 for _ in range(len(B[0]))] for _ in range(len(A))]
# Перемножим матрицы for i in range(len(A)): for j in range(len(B[0])): for k in range(len(B)): result[i][j] += A[i][k] * B[k][j]
return result
# Проверим функцию на примере A = [[1, 2, 3], [4, 5, 6]]
B = [[7, 8], [9, 10], [11, 12]]
result = matrix_multiply(A, B) for row in result: print(row)
Условие:Вам даны две матрицы, нужно написать функцию для их умножения. Матрицы могут быть квадратными или прямоугольными.
Решение: Напишем решение на чистом Python
def matrix_multiply(A, B): # Сначала проверим, можем ли мы вообще перемножить эти матрицы if len(A[0]) != len(B): raise ValueError("Number of A columns must equal number of B rows.")
# Инициализируем результирующую матрицу, заполненную нулями result = [[0 for _ in range(len(B[0]))] for _ in range(len(A))]
# Перемножим матрицы for i in range(len(A)): for j in range(len(B[0])): for k in range(len(B)): result[i][j] += A[i][k] * B[k][j]
return result
# Проверим функцию на примере A = [[1, 2, 3], [4, 5, 6]]
B = [[7, 8], [9, 10], [11, 12]]
result = matrix_multiply(A, B) for row in result: print(row)
#программирование #линейная_алгебра
BY Библиотека собеса по Data Science | вопросы с собеседований
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Библиотека собеса по Data Science | вопросы с собеседований from id
