資料結構
網路
RDBMS
作業系統
Java
MS Excel
iOS
HTML
CSS
Android
Python
C程式設計
C++
C#
MongoDB
MySQL
Javascript
PHP
物理
化學
生物
數學
英語
經濟學
心理學
社會科學
時尚研究
法律研究Python程式乘以兩個矩陣。
給定兩個使用者輸入的矩陣。我們的任務是顯示兩個矩陣的加法。在這些問題中，我們使用巢狀列表解析。
演算法
Step1: input two matrix. Step 2: nested for loops to iterate through each row and each column. Step 3: take one resultant matrix which is initially contains all 0. Then we multiply each row elements of first matrix with each elements of second matrix, then add all multiplied value. That is the value of resultant matrix.
示例程式碼
# Program to multiply two matrices
A=[]
n=int(input("Enter N for N x N matrix: "))
print("Enter the element ::>")
for i in range(n):
row=[] #temporary list to store the row
for j in range(n):
row.append(int(input())) #add the input to row list
A.append(row) #add the row to the list
print(A)
# [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
#Display the 2D array
print("Display Array In Matrix Form")
for i in range(n):
for j in range(n):
print(A[i][j], end=" ")
print() #new line
B=[]
n=int(input("Enter N for N x N matrix : ")) #3 here
#use list for storing 2D array
#get the user input and store it in list (here IN : 1 to 9)
print("Enter the element ::>")
for i in range (n):
row=[] #temporary list to store the row
for j in range(n):
row.append(int(input())) #add the input to row list
B.append(row) #add the row to the list
print(B)
# [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
#Display the 2D array
print("Display Array In Matrix Form")
for i in range(n):
for j in range(n):
print(B[i][j], end=" ")
print()
result = [[0,0,0], [0,0,0], [0,0,0]]
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]
print("The Resultant Matrix Is ::>")
for r in result:
print(r)
輸出
Enter N for N x N matrix: 3 Enter the element ::> 2 1 4 2 1 2 3 4 3 [[2, 1, 4], [2, 1, 2], [3, 4, 3]] Display Array In Matrix Form 2 1 4 2 1 2 3 4 3 Enter N for N x N matrix : 3 Enter the element ::> 1 2 3 4 5 6 7 8 9 [[1, 2, 3], [4, 5, 6], [7, 8, 9]] Display Array In Matrix Form 1 2 3 4 5 6 7 8 9 The Resultant Matrix Is ::> [34, 41, 48] [20, 25, 30] [40, 50, 60]
更新於：2019年7月30日
1.9萬+次瀏覽
廣告