====== Results ======

Here are the final grades for the project. Note that the project gives a maximum 30 points out of the 100 points for the total grade. Note also that no matter the project grade, you still need to get at least 28/70 points (40%) in the final exam to pass the course.

Note that there were some errors in the project grades published last thursday. Hopefully, those errors are now fixed.

{{:ma2501:2012v:projresult.png?500|}}


^ Nr ^ Grade/30 ^
|634938              | 0|
|654178              |16|
|683942              |27|
|698244              |22|
|699049              |26|
|705352              |12|
|705428              |24|
|705442              |24|
|705708              |30|
|707750              |30|
|707767              |24|
|707905              |26|
|712651              | 8|
|715007              |30|
|715066              |20|
|716038              |30|
|716438              |12|
|716439              |20|
|716443              |28|
|716455              |22|
|716460              |15|
|716464              |20|
|716467              |28|
|716475              |15|
|716486              |30|
|716488              |30|
|717867              |21|
|719306              |30|
|722284              |30|
|722301              |30|
|722380              |28|
|722382              |27|
|722386              |30|
|722390              |21|
|722391              |25|
|722392              |30|
|722393              |25|
|722397              |30|
|722398              |28|
|722399              |28|
|722401              |21|
|724006              |22|
|728394              |27|
|728529              |22|
|728628              |22|
|730838              |30|





^ Date ^ Return date ^ Assignment ^ 
| 2012-02-16 | 2012-03-08 | [[http://www.math.ntnu.no/emner/MA2501/2012v/project.pdf|Project]] | |

===== LaTeX =====

If you want to typeset the project with LaTeX, you may use the following template to get started.
This include 

  * Neville and Divided Difference tables
  * Interpolation tables
  * Graphs
  * Python and Matlab code


Download it here:
**[[http://www.math.ntnu.no/emner/MA2501/2012v/latex_example.zip|LaTeX Template]]**

For other help and introduction to LaTeX you may consult the [[http://en.wikibooks.org/wiki/LaTeX|LaTeX wikibook]].

===== Polynomial Interpolation with polyfit and polyval =====

I describe here usage of ''polyfit'' and its close friend ''polyval''.

To obtain an interpolating polynomial, you would go as follows:
<code python>
p = polyfit([0.,2.,1.], [2.,1.,1.], 2)
</code>
Do not forget the third argument, which is the degree of the polynomial that you wish to interpolate with. You should always use the number of interpolation points minus one (here 2 = 3-1).

Now that you have the polynomial ''p'', you may evaluate it at various points as follows
<code python>
polyval(p, 10) # value of the polynomial at x = 10
</code>

This is especially useful if you want to plot a polynomial. You would go as follows:
<code python>
xs = linspace(-1,3,500) # 500 points between -1 and 3
ys = polyval(p, xs) # the y values
plot(xs,ys)
</code>