The method is which both sides of equations are multiplied by a non-ze

1.	The method is which both sides of equations are multiplied by a non-zero constant is classified as1. Gaussian elimination method2. Gaussian inconsistent procedure3. Gaussian consistent procedure4. Gaussian substitute procedure
Answer» Correct Answer - Option 1 : Gaussian elimination method Concept: Gauss Elimination method: It employs both sides of the equation to be multiplied by a non-zero constant. The matrix is then reduced to Upper Triangular Matrix to get the values of the respective variables. The Gauss Elimination method used in linear and multilinear algebra, by a process of solving the system of simultaneous linear equation for one variable in term of the other variable and then substituting this expression to the remaining equations. Which results in a new system of equations and variables in which equations and variables are less than one to the previous one. This process is repeated until the expression is not reduced to only one variable. This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix.

The method is which both sides of equations are multiplied by a non-zero constant is classified as1. Gaussian elimination method2. Gaussian inconsistent procedure3. Gaussian consistent procedure4. Gaussian substitute procedure

Answer» Correct Answer - Option 1 : Gaussian elimination method

Concept:

Gauss Elimination method:

It employs both sides of the equation to be multiplied by a non-zero constant. The matrix is then reduced to Upper Triangular Matrix to get the values of the respective variables.
The Gauss Elimination method used in linear and multilinear algebra, by a process of solving the system of simultaneous linear equation for one variable in term of the other variable and then substituting this expression to the remaining equations. Which results in a new system of equations and variables in which equations and variables are less than one to the previous one. This process is repeated until the expression is not reduced to only one variable.
This method can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix.