# EE133A - Applied Numerical Computing (Spring Quarter 2017)

The EE133A course reader and lectures slides for the Spring 2017
Quarter are made available on this website.
For other course information and homework solutions
please consult the
CCLE course website.

## Textbook

The textbook and additional notes are available in pdf.

Vectors, Matrices, and Least Squares.
This is a draft of a book by S. Boyd and L. Vandenberghe. Additional material closely related to 133A
can be found on the website of the new course at Stanford,
Introduction to Matrix Methods.

EE133A Lecture Notes (Spring 2016). Additional notes on topics not covered in the textbook.

## Lecture slides (Spring 2016)

Introduction

Vectors

Norm, distance, angle

Matrices

Matrix inverses

Orthogonal matrices

QR factorization

Linear equations

Least squares

Least squares applications

Constrained least squares

Cholesky factorization

Nonlinear least squares

Nonlinear equations

Problem condition

Algorithm stability

IEEE floating point numbers

## Homework (Spring 2016)

Exercise numbers refer to the collection of
EE133A Exercises
(data files).
Homework solutions are posted on the
CCLE course website.
Homework grades are posted on MyUCLA.