Optimizing Matrix Multiplication One time consuming task is multiplying large matrices. In this post we'll look at ways to improve the speed of this process. We'll be using a square matrix, but with simple modifications the code can be adapted to any type of matrix. The straight forward way to multiply a matrix is: [code]for (int i = 0; i < N; i++) { for (int j = 0; j < N; j++) { for (int k = 0; k < N; k++) { C[i,j] += A[i,k] * B[k,j]; } } }[/code] Now it's not important to us in which …

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Write a program that can do the following: addition of two matrices . subtraction of two matrices. multiplication of a matrix by a scalar. multiplication of a matrix by a matrix.

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Here is a small--complete--program that includes a sub-routine that inputs two matrices and then multiplies them. Notes: * 1) I happen to like taking input from a text file. It eliminates the need to type input from the console, especially when debugging, it prevents the possibility of making typos. * 2) The sub-routine includes several checks to make sure the array sizes are correct. These checks are not necessary for this particular program, but the checks were added in case the sub-routine is ever copied and used somewhere other than this program. * 3) To make the code more concise, …

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The End.