Welcome

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This is the website for Section 012 of Engineering Mathematics III, a.k.a., MATH 353, at the University of Delaware, in the Spring 2014 semester. I am your instructor, Francisco-Javier Sayas, and you can find more about me in my website

Scroll down to get all the information about the course and a very detailed schedule as we proceed. Matlab files and assignments can be found in the Files page.

Course description: Numerical Methods in engineering, linear and non-linear algebraic equations, numerical solution of ordinary differential equations, Runge-Kutta methods, boundary value problems, finite differences, diffusion, Laplace equation, applications to engineering problems with programming. 

Very important information

Schedule

This table will be updated on a weekly basis, with information of what will be done in the following week and with corrected information of what was done in the previous week.

Week
Lecture

Section
Description
Assigned HW
1
02/10
M

Chapter 0. Meet your computer.

02/12
W
[0.3]
Floating point numbers. Slides (includes 1st day)
HW1
02/14
F
0.4
Lab. Matlab intro and loss of precision
Lab1
2
02/17
M
1.1
Chapter 1. Root finding and fixed points
The bisection method
HW1 due


02/19
W
1.2
Fixed points
02/21
F
1.3
Lab. Bisection method and fixed point iteration
Lab2
HW2
3
02/24
M
1,4
Newton's method

02/26
W
1.5
Derivative free methods

02/28
F

Lab. Linear and quadratic convergence. Newton.
HW2 due
Lab3
HW3
4
03/03
M

CLASS CANCELED FOR YET ANOTHER WINTERSTORM

03/05
W
3.1
Chapter 3. Interpolation
Polynomial interpolation: Lagrange formul. Slides

03/07
F
3.1
Polynomial interpolation: Newton's formula
HW3 due
HW3bis
5
03/10
M

Lab. Interpolation methods Lab4
03/12
W
1st Midterm Exam. Review carefully all HW assignments and Labs. Bring a scientific calculator to the exam. The computer will not be used.
03/14 F
3.1
Newton's divided differences: theory and practice HW4

6
03/17


Short lab + Approximation of the derivative
Lab5
03/19
W
5.1
Chapter 5. Numerical differentiation and integration
Approximation of derivatives

03/21
F

Lab. Order of convergence, loglog plots (download scriptMarch21.m from files page)
HW4 due
HW5
Lab6
7
03/24
M
5.2
Simple integration rules

03/26
W
5.2
Composite integration rules

03/28
F

Lab. Numerical integration
HW5 due
HW6
Lab7
8
Spring break
9
04/07
M
6.1
Chapter 6. Ordinary differential equations
Euler's method

04/09
W
6.2
Other methods for ODE

04/11
F

Lab. Heun's method and Euler's method
HW6due
HW7
Lab8
10
04/14
M
6.3
RK methods and systems of ODE (1). Code in files page

04/16
W
6.4
RK methods and systems of ODE (2)
04/18
F

Lab. Simulations using Runge-Kutta methods
HW7 due
Lab9
11
04/21
M

Review for midterm exam

04/23
W
2nd Midterm Exam
04/25
F

Lab. Systems and matrices made up of diagonals
HW8
Lab10
12
04/28
M
7.1
Chapters 7 and 8. More problems with differential equations
Finite differences for BVP

04.30
W
8.1
The heat equation

05/02
F

Lab. Sparse matrices and BVP
HW8 due
HW9
Lab11
13
04/05
M

Chapter 2. Linear systems
Simple systems. Slides

05/07
W

Simple systems (cont'd)
05/09
F

Lab. The heat equation
HW9 due
HW10
Lab12
14
05/12
M

Matrix decompositions

05/14
W

Gaussian elimination
05/16
F

Lab. Matrix decompositions
HW10 due
Lab13
15
05/19
M

Review


05/28
W
FINAL EXAM (from 10:30am to 12:30am in EWG207)
And we are done