Matrix inversion is the process of finding a matrix that, when multiplied with the original matrix, yields the identity matrix. This concept is crucial in linear algebra as it allows for solving systems of linear equations and plays a significant role in optimization techniques such as the revised simplex method, where efficient computations of basic feasible solutions are necessary to navigate the solution space.
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