Assess learners' ability to analyze how matrix condition numbers and algorithmic choices affect numerical stability when solving linear systems via LU decomposition; tasks include computing condition numbers (using matrix norms), estimating forward and backward errors, interpreting growth factors, comparing pivoting strategies (none, partial, complete), diagnosing ill-conditioning and roundoff effects on solutions, and recommending remedies such as scaling or iterative refinement with justification based on numerical examples.