Minicourse “Matrix recovery problems and mathematical tools” at VIASM on 25 and 27 January 2014

Mini-course “Matrix recovery problems and mathematical tools” by Prof. Vu Ha Van – Yale University, USA is held at C2 Lecture Hall, VIASM on 25 and 27 January 2014.

A common modeling assumption in many engineering applications is that the underlying data lies (approximately) on a low-dimensional linear subspace. Furthermore, real-life data is often corrupted with large errors or can even be incomplete. (One can think of a blurred image from a satellite, for instance.)

A fundamental question is to recover the real data from noisy, incomplete version we observe. A strongly connected problem is to compress data, which means instead of keeping a huge number of bits, we only need to keep a small portion of them, but will be able to recover the rest if necessary.

This Mini-course on applied mathematics, focusing on informatics with an example of Google success using discrete mathematics and probability.

The first lecture of the Mini-course is from 9:00 to 12:00 Saturday, 25 January 2014; the second lecture will be starting at 10:00 and finishing at 12:00 Monday, 27 January 2014.

For more details, please visit:

If you could not be able to attend the course, please watch on youtube: