The RREF Online Calculator is used to calculate the reduced echelon form of a matrix. The reduced echelon form of a matrix is a special form of

- All elements below each pivot are equal to zero.
- Each pivot is equal to 1.
- Each pivot is the only non-zero entry in its column.

This form of the matrix is very useful in many contexts, including linear algebra, numerical analysis, and computer graphics.

The RREF calculator works as follows:

- The user enters the number of rows and columns in the matrix and the values of the matrix elements in the HTML form.
- When the user clicks the “calculate” button, the reduced echelon form is converted and displayed on the user's screen.

The RREF calculator is a very useful tool for math, computer science and engineering students as it allows them to quickly calculate the reduced echelon form of a matrix without having to do it by hand.

Sumário

## RREF Calculator

Our calculator, in addition to presenting the result, also presents all the calculation used to reach the desired result. We use Artificial Intelligence to do the calculation and also teach those who want to learn.

## How to calculate the RREF?

the calculation to find the reduced echelon form (RREF) of a matrix using the Gaussian elimination algorithm.

The Gaussian elimination algorithm is a method of transforming a matrix into its echelon form through a series of elementary row operations. These elementary row operations include:

- Swap two rows of the matrix.
- Multiply a row of the matrix by a non-zero constant.
- Add a multiple of one row of the matrix to another row.

The purpose of Gaussian elimination is to reduce the matrix to echelon form, where each successive row has an increasing number of leading zeros relative to the previous row. The resulting echelon form will have the form:

1 a1 a2 ... an-1 an b1 0 0 1 ... bn-2 bn-1 bn 0 0 0 ... 0 1 cn 0 0 0 ... 0 0 0

Where a1, a2, …, an, b1, bn and cn are constants.

The Gaussian elimination process involves the following steps:

- Choose a row or column as the pivot row or column. The element at the pivot position is the first non-null element in the pivot row or column.
- Use elementary row operations to transform the matrix so that the element in the pivot position is 1 and all other elements in the pivot column are zero.
- Repeat the process for each successive row and column until the matrix is scaled.

After the matrix is echeloned, it is necessary to apply backward elimination to obtain the reduced echelon form (RREF). This process involves the following:

- Start at the last row and work your way up.
- For each row, find the first non-zero element, called the pivot.
- Use elementary row operations to transform the matrix so that the pivot is 1 and all other elements in its column are zero.

After this process, the resulting matrix will be the reduced echelon form (RREF) of the original matrix.