Factorisation LU

Related lectures (29)

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Explores linear systems, Gaussian elimination, LU decomposition, and matrix types.

Explains the concept of least squares solutions and their application in finding the closest solution to a system of equations.

Covers the formulation of linear systems, direct and iterative methods for solving them, and the cost of LU factorization.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

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

Explores area determination, linear applications, matrix operations, and vector spaces.

Covers the LU decomposition method applied to linear systems, presenting the system in two steps.

Explores the Cholesky factorization method for symmetric positive definite matrices.

Covers linear algebra, focusing on systems of equations and their solutions.

Explains the step-by-step process of LU factorization of a matrix.