/linear-algebra-matrix-decompostions

Common Matrix Decompositions in Linear Algebra Implemented from Scratch

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linear-algebra-matrix-decompostions

Common Matrix Decompositions in Linear Algebra Implemented from Scratch. Includes QR decomposition using three methods: the Grahm-Shmidt process, the Householder Reflections, and the Givens Transformations. Then, the SVD decomposition of a given non-square matrix is implemented using the QR algorithm from the previous phase, and the singular values and vectors are calculated.