20211_math_501

Numerical analysis, taught by Prof. Haitian Yue.

• Course syllabus
• Lecture notes
• Homework. Disclaimer: a nontrivial portion of my solutions are flawed. Browse at your own risk. :)) 1 (floating point arithmetics) ‖ 2 (bisection method & floating point error) ‖ 3 (Newton’s method & rate of convergence) ‖ 4 (Second method & fixed points) ‖ 5 (matrix factorizations) ‖ 6 (Naive Gaussian & Gaussian with pivoting) ‖ 7 (norms) ‖ 8 (matrix norms, Jacobi approximation, & Gauss-Seidel)) ‖ 9 (power method) ‖ 10 (more matrix questions) ‖ 11 (Gram-Schmidt & least squares) ‖ 12 (SVD & pseudoinverses)
• Exams. Midterm and final exam. Here is a one-page final exam cheatsheet (allowed, of course).