दो उपयोगकर्ता इनपुट मैट्रिक्स को देखते हुए। हमारा काम दो मैट्रिक्स के जोड़ को प्रदर्शित करना है। इन समस्याओं में हम नेस्टेड सूची का व्यापक उपयोग करते हैं।
एल्गोरिदम
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.
उदाहरण कोड
# 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)
आउटपुट
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]है