Lecture
This lecture covers the concept of row-echelon and reduced row-echelon matrices in the context of linear algebra. It explains the conditions for a matrix to be row-echelon or reduced row-echelon, highlighting the significance of pivot elements and null rows. The lecture also demonstrates the resolution of systems associated with these matrices, showcasing how the reduced row-echelon form simplifies the process of solving systems of linear equations.