This is a graduate level introductory course focusing on numerical computation and their practical applications. Some slide content is adapted from Prof. Vandenberghe's ECE133A course at UCLA and Profs. Boyd and Vandenberghe's book slides.

Slides (Fall 2024)

• Introduction

• 1 Numerical precision and errors

• 2 Vectors

• 3 Norm and distance

• 4 Matrices

• 5 Linear models

• 6 Matrix inverses

• 7 LU factorization

• 8 QR factorization

• 9 Least squares

• 10 Least squares data-fitting

• 11 Constrained least squares