teaching/scientificComputing
Archived
3
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

updated gradient descend exercise

Browse Source
This commit is contained in:
Jan Benda 2019-12-10 10:00:20 +01:00
parent 39a1e51bc4
commit a8afe6b020
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
regression/exercises/exercises01.tex
View File

@ -20,7 +20,7 @@
\else
\newcommand{\stitle}{}
\fi
\header{{\bfseries\large Exercise 10\stitle}}{{\bfseries\large Gradient descent}}{{\bfseries\large December 17th, 2018}}
\header{{\bfseries\large Exercise 10\stitle}}{{\bfseries\large Gradient descent}}{{\bfseries\large December 16th, 2019}}
\firstpagefooter{Dr. Jan Grewe}{Phone: 29 74588}{Email:
jan.grewe@uni-tuebingen.de}
\runningfooter{}{\thepage}{}
@ -121,7 +121,8 @@
\part Use the functions \code{polyfit()} and \code{lsqcurvefit()}
provided by matlab to find the slope and intercept of a straight
line that fits the data.
line that fits the data. Compare the resulting fit parameters of
those functions with the ones of your gradient descent algorithm.
\begin{solution}
\lstinputlisting{../code/linefit.m}
\end{solution}