Last week I had the pleasure of attending and speaking at the Conference on Scientific Computing and Approximation (March 30-31, 2018) at Purdue University, held in honour of Walter Gautschi (Professor Emeritus of Computer Science and Mathematics at Purdue University) on the occasion of his 90th birthday.

The conference was expertly organized by Alex Pothen and Jie Shen. The attendees, numbering around 70, included many of Walter’s friends and colleagues.
The speakers made many references to Walter’s research contributions, particularly in the area of orthogonal polynomials. In my talk, Matrix Functions and their Sensitivity, I emphasized Walter’s work on conditioning of Vandermonde matrices.
A Vandermonde matrix is an
matrix depending on parameters
that has
th column
. It is nonsingular when the
are distinct. This is a notoriously ill conditioned class of matrices. Walter said that he first experienced the ill conditioning when he computed Gaussian quadrature formulas from moments of a weight function.
Walter has written numerous papers on Vandermonde matrices that give much insight into their conditioning. Here is a very a brief selection of Walter’s results. For more, see my chapter Numerical Conditioning in Walter’s collected works.
In a 1962 paper he showed that
In 1978 he obtained
which differs from the upper bound by at most a factor . A 1975 result is that for
equispaced on
,
A 1988 paper returns to lower bounds, showing that for and
,
When some of the coincide a confluent Vandermonde matrix can be defined, in which columns are “repeatedly differentiated”. Walter has obtained bounds for the confluent case, too.
These results quantify the extreme ill conditioning. I should note, though, that appropriate algorithms that exploit structure can nevertheless obtain accurate solutions to Vandermonde problems, as described in Chapter 22 of Accuracy and Stability of Numerical Algorithms.






Elizabeth Greenspan and Bruce Bailey looked after the SIAM stand:
If you are interested in writing a book or SIAM, Elizabeth would love to hear from you!
(For more photos, see
Here is Sarah Knepper of Intel speaking in the
Torrential rain one night forced me to take shelter on the way back from dinner, allowing a moment to capture this image of Peach Tree Street. 
I caught the March for Science on the same day:

Emily Shuckburgh gave the I.E. Block Community Lecture “From Flatland to Our Land: A Mathematician’s Journey through Our Changing Planet”:
Here are Des and I on the Roberto Clemente bridge over the Allegheny River, the evening before the conference started: 
