# EE103 - Applied Numerical Computing (Fall 2011-12)

The EE103 lecture notes and course reader for the 2011-12 Fall
Quarter are available here in pdf.
For all other course information, homework assignments, and solutions
please consult the
EEweb course website.

## Course reader

The reader can be downloaded in a single
pdf file.
Printed copies will be available from UCLA Academic Publishing.

The following MATLAB files are needed for some of the exercises:
`hw1_regression.m`,
`ch1ex20.m`,
`ch1ex21.m`,
`ch7ex24.m`,
`ch8ex3.m`,
`ch8ex4.m`,
`ch8ex7.m`,
`ch8ex8.m`,
`ch8ex9.m`,
`ch8ex11.m`,
`ch3ex4.m`,
`ch14ex1.m`,
`ch14ex5.m`,
`ch16ex9.m`,
`mylu.m`,
`chop.m`.

## Lecture notes

The lecture notes will be posted here before each lecture.

Vectors

Matrices

Linear equations

Theory of linear equations

Complexity of matrix algorithms

Cholesky factorization

LU factorization

Linear least-squares

QR factorization

Least-norm problems

Nonlinear equations with one variable

Newton’s method

Unconstrained optimization

Nonlinear least-squares

Problem condition and numerical stability

IEEE floating point numbers

Ordinary differential equations

Linear optimization

## Typos

##### Course reader

##### Lecture notes