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pct/modules/04/linear-equations.ipynb

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"### LU Decomposition\n",
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"LU decomposition is a way to turn a square matrix $A$ into a lower triangular matrix $L$ and an upper triangular matrix $U$, so that $A = PLU$, where `P` is a permutation matrix, and `L` and `U` are lower and upper triangular matrices.\n",
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"LU decomposition (also called LU factorization) is a way to turn a square matrix $A$ into a lower triangular matrix $L$ and an upper triangular matrix $U$, so that $A = PLU$, where `P` is a permutation matrix, and `L` and `U` are lower and upper triangular matrices.\n",
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"SciPy allows one to decompose a matrix into LU with `scipy.linalg.lu` and reapply the decomposition to solve different right-hand side vectors.\n"
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