Gauss Jordan Method Algorithm


In linear algebra, Gauss Jordan Method is a procedure for solving systems of linear equation. It is also known as Row Reduction Technique. In this method, the problem of systems of linear equation having n unknown variables, matrix having rows n and columns n+1 is formed. This matrix is also known as Augmented Matrix. After forming n x n+1 matrix, matrix is transformed to diagonal matrix by row operations. Finally result is obtained by making all diagonal element to 1 i.e. identity matrix.

Algorithm for Gauss Jordan Method

1. Start

2. Read Number of Unknowns: n

3. Read Augmented Matrix (A) of n by n+1 Size

4. Transform Augmented Matrix (A) 
   to Diagonal Matrix by Row Operations.

5. Obtain Solution by Making All Diagonal Elements to 1.

6. Display Result.

7. Stop

Recommended Readings

  1. Gauss Jordan Method Algorithm
  2. Gauss Jordan Method Pseudocode
  3. Gauss Jordan Method Using C
  4. Gauss Jordan Method Using C++