Decomposition LU: Example

Related lectures (26)

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Covers linear systems, diagonal and triangular matrices, and LU factorization.

Covers the LU decomposition method for matrix factorization and its application in electrical engineering.

Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Provides an overview of symmetric matrices, quadratic forms, and their applications in linear algebra and analysis.

Covers the algorithm for matrix decomposition and base change in linear algebra.

Explores LU decomposition for solving linear systems and the associativity of operations.

Covers the Jacobi method, Givens rotation, QR decomposition, and diagonalization techniques in computational physics.

Covers the QR factorization method applied to solving a system of linear equations in the least squares sense.

Covers the Singular Value Decomposition (SVD) of a matrix and its applications.