Linear Algebra & Matrix Methods

Eigendecomposition, singular value decomposition, and sparse linear systems as the numerical backbone of calibration and risk engines. Covers LU/Cholesky factorisation, condition numbers, and iterative solvers used in production pricing and portfolio optimisation.