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37 changes: 37 additions & 0 deletions HW4/README.md
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# Homework #3
## due 3/1/17 by 11:59pm


1. Use your repository 'roots_and_optimization'. Document all the HW4 work under the
heading `# Homework #4` in your `README.md` file

a. Create a function called 'collar_potential_energy' that computes the total
potential energy of a collar connected to a spring and sliding on a rod. As shown in
the figure given a position, xc, and angle, theta:

![Collar-mass on an inclined rod](collar_mass.png)

The spring is unstretched when x_C=0.5 m. The potential energy due to gravity is:

PE_g=m x_C\*g\*sin(theta)

where m=0.5 kg, and g is the acceleration due to gravity,

and the potential energy due to the spring is:

PE_s=1/2\*K \*(DL)^2

where DL = 0.5 - sqrt(0.5^2+(0.5-x_C)^2) and K=30 N/m.

b. Use the `goldmin.m` function to solve for the minimum potential energy at xc when
theta=0. *create an anonymous function with `@(x) collar_potential_energy(x,theta)` in
the input for goldmin. Be sure to include the script that solves for xc*

c. Create a for-loop that solves for the minimum potential energy position, xc, at a
given angle, theta, for theta = 0..90 degrees.

d. Include a plot of xc vs theta. `plot(theta,xc)` with

`![Steady-state position of collar on rod at angle theta](plot.png)`

3. Commit your changes to your repository. Sync your local repository with github.
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8 changes: 4 additions & 4 deletions README.md
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Expand Up @@ -79,10 +79,10 @@ general, I will not post homework solutions.
| |2/16|8|Linear Algebra|
|6|2/21|9|Linear systems: Gauss elimination|
| |2/23|10|Linear Systems: LU factorization|
|7|2/28||Midterm Review|
| |3/2||Midterm|
|8|3/7|11|Linear Systems: Error analysis|
| |3/9|13|Eigenvalues|
|7|2/28|11|Linear Systems: Error analysis|
| |3/2|12|Eigenvalues|
|8|3/7|1-10 |Midterm Review|
| |3/9|1-10|Midterm|
|9|3/14| N/A |Spring Break!|
| |3/16| N/A |Spring Break!|
|10|3/21|12|Linear Systems: Iterative methods|
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6 changes: 6 additions & 0 deletions lecture_09/.ipynb_checkpoints/lecture_09-checkpoint.ipynb
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}
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