LINEAR ALGEBRA WITH NUMERICAL ANALYSIS FOR. ENGINEERING.
AM 1411

Fall 2014
Plan for AM1411a
Section numbers refer to Anton
March 5, 2015
Week
Subjects
Source material
1. Jan 5
Engineering applications
Electrical circuits
Pipe ow
Exact interpolation
Augmented Matrix
Gauss Elim. Row reduction
Homogeneous systems
Matrix Algebra
, m
LINEAR ALGEBRA WITH NUMERICAL ANALYSIS FOR. ENGINEERING.
AM 1411

Fall 2014
Least Squares Approximations
D.J. Jerey
The University of Western Ontario
March 5, 2015
The system of equations
k
=
1.6 ,
k
=
1.8
does not have a solution for k: it is inconsistent. Why should we ever want to consider systems of equations that do not
have
LINEAR ALGEBRA WITH NUMERICAL ANALYSIS FOR. ENGINEERING.
AM 1411

Fall 2014
Matrices and Linear Transformations
D.J. Jerey
Department of Applied Mathematics
U. Western Ontario
March 23, 2014
1
1.1
Applications of linear transformations
Transformations in Engineering
An important activity in engineering is tracking the way thinks
LINEAR ALGEBRA WITH NUMERICAL ANALYSIS FOR. ENGINEERING.
AM 1411

Fall 2014
QUESTION KEY 210153
University of Western Ontario
AM 1411 Matlab test
This is a sample for test during week of March 9 12
Student Name:
Student Number:
1. (2 marks) Calculate the inverse matrix A1 of
8 34 13
A = 15 9 40
23 8 21
Write the value of the (1,
LINEAR ALGEBRA WITH NUMERICAL ANALYSIS FOR. ENGINEERING.
AM 1411

Fall 2014
Least Squares Approximations
D.J. Jerey
The University of Western Ontario
March 23, 2014
The system of equations
k
=
1.6 ,
k
=
1.8
does not have a solution for k: it is inconsistent. Why should we ever want to consider systems of equations that do not
hav