Matrix Multiplication Calculator

Use the free matrix multiplication calculator to compute matrix multiplication instantly. Includes the formula, a worked example and FAQs. No sign-up.

What is the Matrix Multiplication Calculator?

The matrix multiplication calculator is a free online tool that helps you work out matrix multiplication quickly and accurately. It uses the standard formula Standard matrix multiplication (columns of A must equal rows of B) and shows the result instantly as you type, along with a full breakdown so you can see exactly how the answer was reached.

How to use this calculator

  1. Enter matrix A with rows separated by ; and numbers by spaces.
  2. Enter matrix B.
  3. See the product.

Formula used

Standard matrix multiplication (columns of A must equal rows of B)

Explanation of each input

  • Matrix A (rows separated by ;) โ€” the matrix a (rows separated by ;) used in the calculation.
  • Matrix B (rows separated by ;) โ€” the matrix b (rows separated by ;) used in the calculation.

Understanding your result

  • Product A x B โ€” the calculated product a x b.

Step-by-step calculation

For the example values [[1,2],[3,4]] x [[5,6],[7,8]]:

  1. Apply the formula: Standard matrix multiplication (columns of A must equal rows of B)
  2. Substitute the values: row-by-column
  3. Result: [[19,22],[43,50]]

Worked example

Inputs[[1,2],[3,4]] x [[5,6],[7,8]]
Workingrow-by-column
Result[[19,22],[43,50]]

Benefits and practical uses

This calculator saves you time and reduces errors when you need matrix multiplication. It is useful for students, professionals and anyone who wants a fast, reliable answer without manual calculation. Results update instantly, work in your browser and can be copied or shared in one click.

Assumptions and limitations

  • Compatible dimensions.

Frequently asked questions

When can two matrices be multiplied?

When the number of columns in A equals the number of rows in B.

Disclaimer: Results are provided for general information. Please verify important figures independently.