Data Science Numerical Analysis
Decomposition refers to the process of breaking down a complex matrix into simpler, more manageable components, often to facilitate easier computations or analyses. In numerical analysis, this concept is crucial as it allows for solving linear equations, performing eigenvalue analysis, and optimizing algorithms by simplifying calculations involved in matrix operations.
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