# ECE133A - Applied Numerical Computing (Winter Quarter 2018)

The ECE133A course reader and lectures slides for the Winter 2018
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.

Textbook: Introduction to Applied
Linear Algebra. Vectors, Matrices, and Least Squares,
by S. Boyd and L. Vandenberghe. Additional material closely
related to 133A can be found on the website of the Stanford course
Introduction to Matrix Methods.

Additional notes: EE133A Lecture Notes. Additional notes on topics not covered in the
textbook.

Additional
exercises. MATLAB files for the additional exercises can be found in
the data file
directory.

## Lecture slides

Introduction

Vectors

Norm, distance, angle

Matrices

Matrix inverses

Orthogonal matrices

QR factorization

Linear equations

Least squares

Least squares data fitting

Multi-objective least squares

Constrained least squares

Cholesky factorization

Nonlinear least squares

Nonlinear equations

Problem condition

Algorithm stability

IEEE floating point numbers

*Typos:*

## Homework

Homework is due at 6:00PM on the due date. There is a submission
box in the TA meeting room (67-112 Engineering 4).
Late homework will not be accepted.

Exercise numbers with prefix 'T’ refer to exercises in the textbook.
Exercise numbers with prefix 'A’ refer to the collection of
additional
exercises.
MATLAB files for the additional exercises can be found in
the data file
directory.

Homework solutions are posted on the
CCLE course website.
Homework grades are posted on MyUCLA.
The graded homework will be returned by the TAs in the discussions.