Pivot element

Related lectures (31)

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Covers the Simplex Algorithm, explaining optimality, unbounded costs, and degenerate problems.

Explains the Gaussian elimination method for solving linear equations through row operations and pivoting.

Explains row-echelon and reduced row-echelon matrices and their role in simplifying system resolution.

Explores forming bases, dependencies, and relationships in linear applications using invertible matrices and canonical bases.

Explores solving systems of equations with parameters using matrices and Gaussian elimination.

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Explains the Gaussian elimination algorithm with pivoting and LU factorization for linear systems.

Covers elementary transformations of matrices and the concept of line-equivalence.

Explores the associated matrix of a linear map, basis formation, and space relationships.