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Challenge: Lower-upper Decomposition Algorithm

Explore how to compute LU decomposition to factorize a square matrix into lower and upper triangular matrices. Understand the algorithmic steps extending Gaussian elimination and implement it using Python to apply it effectively in data science.

LU Decomposition

Lower-upper (LU) decomposition is the process of factoring an invertible matrix, AA, to a product of a lower triangular matrix, LL, and an upper triangular matrix UU.

A=LUA = LU

An input matrix that’s square and invertible will always have a unique LU decomposition where the LL matrix has 1s1s at its diagonal.

[a11a12a13a21a22a23a31a32a33]=[100l2110l31l321]×[u11u12u130u22u2300u33 ...