Global vs. local
optimization animations
The following animated films
visualizes the difference between
local and global optimization
strategies.
Mathematically, the problem is as follows: Given a
continous function f(x,y) with real variables, find its minimum on a
given domain. If the function is nice enough, then one can find local
optima by classical methods. However, finding the optimum on the whole
domain is usually difficult.
The story: Suppose that the deepest point on the surface on
an unknown planet should be found. We send out robots, capable of
sensing the altitude , but they cannot see further than 3 feet.
The robot

The robots land on the planet

A lucky robot finds a deep
hole
In a larger picture, we will see that the
hole is far from being the deepest one!
A possible solution: climbing out of the hole
and trying to find a deeper one.
Good bye, robot!
Note on use: Save,
Use, Link, but do not mirror:
These videos are copyrighted materials.
You are allowed
- to
use these videos freely for educational and research presentations:
- you
can present them in classrooms and conferences ,
- you
can link to them,
- you
can store them on your own computer or removable data storage.
If you
present these videos, you must
acknowledge this site as their source.
However, you are not
allowed (without our explicit, written permission):
- to
mirror them on your servers,
- to
make copies for distribution to others,
- to
broadcast them in TV shows,
- to
use them as a part of any presentations, other than educational or
research.