![]() ![]() Nested loops are the simplest and slowest method with which we can implement the matrix multiplication program. Ways to Implement Matrix Multiplication in Python Using Nested Loops Moreover, many times it is also possible only one or none of these products is defined (because of constraints on dimensions discussed earlier).įor discussion in the further section(s), we will always consider A to be the first matrix, and B to be the second matrix, that is, weâll be calculating the product C = AB. That is AB and BA are not necessarily equal. Matrix multiplication is not commutative. The following animation will help you understand the entire process visually: Just as a last check, make sure that the product matrix that was calculated has dimensions (aÃc).Put this sum at cell of the product matrix C.Take the sum of the products calculated in the previous step.For example, multiply the first element of the ith row with the first element of the jth column, and so on. Multiply their elements present at the same index. Take the ith row from A and the jth row from B.Repeat the following for all i and j, 0<=i<=j
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