Column Subset Selection: RRQR and TCS

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

Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.

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Covers the concept of Singular Value Decomposition (SVD) for compressing information in matrices and images.

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Explores theoretical and practical aspects of fast matrix-matrix multiplication algorithms and their significance in computer science.