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Applied
Problem Solving with Matlab (10.317)
Illustrative Applications
The
best way to learn a new programming language, such as Matlab, and
the only way to really develop experience with a variety of problem
solving strategies and numerical techniques is to be exposed to
a variety of good examples that illustrate the most important features
of interest. My approach to teaching Matlab and Applied Numerical
Methods follows this philosophy and, as such, my goal is to provide
you with as many illustrative examples as possible. Towards this
goal, I have generated a series of completely worked-out applications
for you to use as a learning resource for this course. In some cases,
the examples are pretty simple, with the goal of highlighting one
or two key concepts. In other cases, a fairly comprehensive analysis
of a particular system is given, with the goal of showing how to
tackle some more complicated problems that require the integration
of several tools or techniques. In all cases, there is something
significant to be gained from the examples, so I strongly encourage
you to put this material to good use!
These Illustrative Applications have been included
in a series of separate files (in pdf format) that cover a variety
of topics, with the full development of the problem, the implementation
of a solution algorithm within Matlab, and a brief discussion and
interpretation of the results from the analysis. The Matlab programs
are embedded within tables as part of the individual files and these
represent a major additional resource for this course. You should
definitely review each of these cases and use them, as appropriate,
to help in your understanding of using Matlab as a problem-solving
tool and as additional examples of the various numerical techniques
introduced throughout the course. These additional illustrative
examples will also serve as a great resource for your homework assignments
and projects.
A list of the examples currently available, by lesson, is tabulated
below (with links to the associated pdf file):
| Lesson
1: Getting Started With Matlab
|
| Title
for Demo |
pdf
File |
| Pendulum
Dynamics (discussed as part of Lesson #1) |
|
| Maxwell
Boltzmann Distribution |
|
Laminar
vs. Turbulent Flow in a Pipe |
|
| Pipe
Insulation Considerations |
|
| Lesson
2: Array and Matrix Operations in Matlab
|
| Title
for Demo |
pdf
File |
| Sand
Pit Utilization |
|
| Maxwellian
Distribution Revisited |
|
2-D
Projectile Motion -- A Bottle Cap Tossing Simulation |
|
| Lesson
3: Programming in Matlab
|
| Title
for Demo |
pdf
File |
| Hurricane
Edouard (Aug. 21 – Sept. 3, 1996) |
|
| Heat
Transfer in a Rectangular Fin |
|
Measurement
Error in a Temperature Probe |
|
| Lesson
4: Numerical Errors
|
| Title
for Demo |
pdf
File |
| On
Evaluating Infinite Series -- An Example |
|
| Evaluating
and Plotting Space-Time Temperature Distributions |
|
Introduction
to Finite Difference Methods |
|
| Lesson
5: Root Finding and Polynomial Manipulations
|
| Title
for Demo |
pdf
File |
| Friction
Effects in Pipe Flow |
|
| Energy
Balance on a Conducting Rod |
|
Comprehensive
Analysis of a Slanted Gate |
|
| Lesson
6: Systems of Equations
|
| Title
for Demo |
pdf
File |
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Last
updated by Prof. John R. White (Sept. 2005)
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