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The *Gaussian Elimination in Mathematics Multiple Choice Questions (MCQ Quiz) with Answers PDF*, Gaussian Elimination in Mathematics MCQ PDF e-Book download to practice Business Mathematics Tests. Learn Matrix Algebra Multiple Choice Questions and Answers (MCQs), Gaussian Elimination in Mathematics quiz answers PDF for bachelors in business online. The *Gaussian Elimination in Mathematics MCQ App* Download: Free learning app for types of matrices, matrix operations, inverse of a matrix test prep for online business and management degree.

The MCQ: *In Gaussian elimination procedure, constants which is augmented for first time with second system are;* "Gaussian Elimination in Mathematics" App Download (Free) with answers: Lower constants; Right side constants; Left side constants; Upper constants; for bachelors in business online. Practice Gaussian Elimination in Mathematics Quiz Questions, download Google eBook (Free Sample) for online school of business administration.

MCQ 1:

**In Gaussian reduction procedure, the row operations are performed to transform matrix A into**

- (m x m) identity matrix
- (n x n) identity matrix
- (f x p) identity matrix
- (p x p) identity matrix

a

MCQ 2:

**In the Gaussian elimination procedure, the constants which is augmented for first time with second system are**

- lower constants
- right side constants
- left side constants
- upper constants

b

MCQ 3:

**In system of equations, if inverse of matrix of coefficients A is multiplied by right side constant B vector then the resultant will be**

- constant vector
- undefined vector
- defined vector
- solution vector

d

MCQ 4:

**The condition in Gaussian reduction procedure in which matrix A can be transformed into an identity matrix if the matrix is**

- identified and non-inverse
- unidentified and non-inverse
- singular and have inverse
- non-singular and have inverse

d

MCQ 5:

**The Gaussian elimination procedure is one of the several methods to solve the**

- inverse of matrix
- determinant matrix
- procedure matrix
- eliminated matrix

a

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