LU Decomposition Simplified: Matrix Breakdown For Efficient Solutions
LU decomposition breaks down a square matrix into lower (L) and upper (U) triangular matrices, simplifying solving systems of linear equations and computing matrix inverses.
LU decomposition is a fundamental technique in linear algebra that simplifies solving systems of linear equations, computing matrix inverses, and calculating determinants. It breaks down a square matrix into two simpler triangular matrices: one lower triangular (L) and one upper triangular (U). This makes solving complex problems computationally efficient and straightforward. What is LU Decomposition? LU decomposition expresses a square matrix A as the product of two matrices: L: A lower triangular matrix with 1s on the diagonal. U: An upper triangular matrix. Mathematically: A =...