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Matrix rank is the number of pivots after Gaussian elimination and equals the dimension of both the column space and the row space.
Gaussian elimination is a systematic way to solve linear equations by cleaning a matrix into an upper-triangular form using row swaps, scaling, and adding multiples of rows.