Numerical Linear Algebra (MATH-0226)

Spring 2026 · MATH 0226 · Tufts University · 3 credits · Undergraduate

(Cross-list w/ CS 228) Design and analysis of algorithms for solving linear systems of equation, least squares problems, and eigenvalue problems, with a strong emphasis on matrix theory. Unitary matrices (including projections, rotations, and reflections). Matrix factorizations (including LU, Cholesky, QR, and the singular value decomposition). Conditioning; stability; perturbation analysis; operation counts. Krylov subspace methods (including theoretical analysis, preconditioning, and the connection to Gaussian quadrature). Applications. Prerequisites: Math 70 or 72 and graduate standing; or permission of instructor.

Course codes: MATH-0226, MATH 0226, MATH0226, MATH-226, MATH 226, MATH226

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