Calculate the reduced row echelon form of any matrix with step-by-step Gaussian elimination. Find matrix rank, determinant, and solve linear systems.
RREF is a unique matrix form where each leading entry is 1, and all elements above and below leading 1s are zeros.
The algorithm uses row operations (swap, multiply, add) to transform any matrix into its RREF.
Solving linear systems, finding matrix rank, computing determinants, and analyzing linear transformations.
Perfect for students learning linear algebra, matrix theory, and systems of equations.
Used in computer graphics, machine learning, optimization, and numerical analysis.
Essential for circuit analysis, structural analysis, control systems, and signal processing.