Problem Set 5: Least Squares and QR factorization
 Due Nov 23, 2016 by 5pm
 Points 10
 Submitting a file upload
 File Types pdf
 Available after Nov 12, 2016 at 12:30pm
This assignment has coding (30 pts) and written (10 pts) parts. Upload written parts as a pdf here. Submit your code to scorelator.
Quiz 5 will ask questions about this assignment. You may want to start Quiz 5: Least Squares and QR factorization, while you work through the assignment.
Here is the problem set: ProblemSet51.pdf (updated 11/16) and you will also need this .m file that defines a function matrix, Fm, and two vectors, t1 and x1:dataset1.m
Please use office hours or the Discussion board if you need help : Discussion Module 5: Least Squares Regression and QR factorization
Update (11/21):
For the purposes of scorelator, the order of your rows in in A1biiA matters. Arrange them so that your C vector will be ${C}_{1}=\left[\begin{array}{c}A\\ B\\ C\end{array}\right]$
Update (11/16):
1) The order in which you make your data vector changes the fit. Use the following to define your time and temperature data vectors:
yi = [75 77 76 73 69 68 63 59 57 55 54 52 50 50 49 49 49 50 54 56 59 63 67 72]';
xi=1:24';
2) The summary of scorelator .dat files was missing 'A2acondA.dat'
3) Scorelator cannot take .mat files, so I changed the .mat file to a .m file. You should run this file by using the line
dataset1;
in your script. No need to use the load() function.
Rubric
Criteria  Ratings  Pts  

Least Squares Error deriving set of linear equations in the coefficients
threshold:
pts


pts



Plot (b) iv 2nd order polynomial fit
threshold:
pts


pts



Plot (c) iv 3rd order polynomial fit
threshold:
pts


pts



Total Points:
10.0
out of 10.0
