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107 LearnersLast updated on October 16, 2025

Calculators are reliable tools for solving simple mathematical problems and advanced calculations like matrix operations. Whether you're involved in engineering, data science, or computer graphics, calculators can make your computations easy. In this topic, we are going to talk about matrix multiplication calculators.
A matrix multiplication calculator is a tool designed to multiply matrices.
Matrix multiplication is a fundamental operation in linear algebra, where two matrices are combined to produce a third matrix.
This calculator simplifies the process by performing the calculations quickly and accurately, saving time and effort.
Given below is a step-by-step process on how to use the calculator:
Step 1: Enter the dimensions: Input the dimensions of the matrices you wish to multiply.
Step 2: Enter the elements: Input the elements of each matrix into the respective fields.
Step 3: Click on Multiply: Click on the multiply button to perform the multiplication and get the result.
Step 4: View the result: The calculator will display the resulting matrix instantly.
To multiply two matrices, the number of columns in the first matrix must equal the number of rows in the second matrix.
The resulting matrix has dimensions given by the number of rows in the first matrix and the number of columns in the second matrix.
If A is an m × n matrix and B is an n × p matrix, the resulting matrix C will be an m × p matrix.
The element cᵢⱼ (in the i-th row and j-th column of matrix C) is calculated as:
cᵢⱼ = aᵢ₁·b₁ⱼ + aᵢ₂·b₂ⱼ + ... + aᵢₙ·bₙⱼ
or more generally,
cᵢⱼ = Σ (from k = 1 to n) of aᵢₖ × bₖⱼ
When using a matrix multiplication calculator, there are a few tips and tricks to ensure accuracy and efficiency:
Double-check dimensions: Ensure the number of columns in the first matrix matches the number of rows in the second matrix.
Verify elements: Double-check the input of matrix elements to avoid errors.
Use parentheses: Use parentheses to clarify operations when inputting complex expressions.
Consider special matrices: Recognize special matrices (identity, zero) that can simplify operations.
Even when using a calculator, mistakes can happen. Here are some common issues and how to avoid them:
Multiply a 2x3 matrix by a 3x2 matrix.
Let matrix A be:
A =
[ [1, 2, 3],
[4, 5, 6] ]
Let matrix B be:
B =
[ [7, 8],
[9, 10],
[11, 12] ]
Resulting matrix C will be:
C =
[ [(1 × 7 + 2 × 9 + 3 × 11), (1 × 8 + 2 × 10 + 3 × 12)],
[(4 × 7 + 5 × 9 + 6 × 11), (4 × 8 + 5 × 10 + 6 × 12)] ]
C =
[ [58, 64],
[139, 154] ]
The multiplication of a 2x3 matrix with a 3x2 matrix results in a 2x2 matrix.
Each element is computed as the dot product of rows from the first matrix and columns from the second matrix.
Multiply a 3x1 matrix by a 1x3 matrix.
Let matrix A be:
A =[2][4][6][ 2 ] [ 4 ] [ 6 ] [2][4][6]
Let matrix B be:B =[135][ 1 3 5 ] [135]
Resulting matrix C will be:C =[2×12×32×5][4×14×34×5][6×16×36×5][ 2×1 2×3 2×5 ] [ 4×1 4×3 4×5 ] [ 6×1 6×3 6×5 ] [2×12×32×5][4×14×34×5][6×16×36×5]
C =[2610][41220][61830][ 2 6 10 ] [ 4 12 20 ] [ 6 18 30 ] [2610][41220][61830]
The multiplication of a 3x1 matrix with a 1x3 matrix results in a 3x3 matrix.
Each element is computed by multiplying the single element from the row of the first matrix with each element from the column of the second matrix.
What is the result of multiplying a 3x2 matrix with a 2x3 matrix?
Let matrix A be:A =[14][25][36][ 1 4 ] [ 2 5 ] [ 3 6 ] [14][25][36]
Let matrix B be:B =[789][101112][ 7 8 9 ] [ 10 11 12 ] [789][101112]
Resulting matrix C will be:C =[(1×7+4×10)(1×8+4×11)(1×9+4×12)][(2×7+5×10)(2×8+5×11)(2×9+5×12)][(3×7+6×10)(3×8+6×11)(3×9+6×12)][ (1×7 + 4×10) (1×8 + 4×11) (1×9 + 4×12) ] [ (2×7 + 5×10) (2×8 + 5×11) (2×9 + 5×12) ] [ (3×7 + 6×10) (3×8 + 6×11) (3×9 + 6×12) ] [(1×7+4×10)(1×8+4×11)(1×9+4×12)][(2×7+5×10)(2×8+5×11)(2×9+5×12)][(3×7+6×10)(3×8+6×11)(3×9+6×12)]
C =[475257][647178][819099][ 47 52 57 ] [ 64 71 78 ] [ 81 90 99 ] [475257][647178][819099]
When multiplying a 3x2 matrix with a 2x3 matrix, the result is a 3x3 matrix.
Each element of the resulting matrix is calculated as the dot product of corresponding rows and columns.
Multiply two 2x2 matrices.
Let matrix A be:
A =[12][34][ 1 2 ] [ 3 4 ] [12][34]
Let matrix B be:B =[56][78][ 5 6 ] [ 7 8 ] [56][78]
Resulting matrix C will be:C =[(1×5+2×7)(1×6+2×8)][(3×5+4×7)(3×6+4×8)][ (1×5 + 2×7) (1×6 + 2×8) ] [ (3×5 + 4×7) (3×6 + 4×8) ] [(1×5+2×7)(1×6+2×8)][(3×5+4×7)(3×6+4×8)]
C =[1922][4350][ 19 22 ] [ 43 50 ] [1922][4350]
Multiplying two 2x2 matrices produces another 2x2 matrix.
Each element is derived from the dot product of corresponding rows and columns.
Calculate the product of a 4x1 matrix and a 1x4 matrix.
Let matrix A be:
A =
[ 1
2
3
4 ]
Let matrix B be:B = [ 5 6 7 8 ]
Resulting matrix C will be: C =
[ 1×5 1×6 1×7 1×8
2×5 2×6 2×7 2×8
3×5 3×6 3×7 3×8
4×5 4×6 4×7 4×8 ]
C =
[ 5 6 7 8
10 12 14 16
15 18 21 24
20 24 28 32 ]
The multiplication of a 4x1 matrix with a 1x4 matrix results in a 4x4 matrix, as each element of the row is multiplied by each element of the column.
Seyed Ali Fathima S a math expert with nearly 5 years of experience as a math teacher. From an engineer to a math teacher, shows her passion for math and teaching. She is a calculator queen, who loves tables and she turns tables to puzzles and songs.
: She has songs for each table which helps her to remember the tables






