Commutative Algebra is one of the few areas of computational mathematics
whose numerical aspects have received little attention until
recently. This contrasts with the importance of some of its fundamental
tasks in Scientific Computation, e.g. the global solution of systems of
multivariate polynomials.
We will use an analysis of this task for an introduction into some aspects
of numerical polynomials algebra which has become a highly active research
area lately. In particular, we will demonstrate how matrix eigenproblems
are at the heart of multivariate systems solving. On the way, we will see
why Groebner basses have become a key tool of computational polynomial
algebra; but we will also realize their problematic aspects in connection
with numerical computation, when we have data of limited accuracy and use
floating-point arithmetic.
In conclusion, I will point out the fascination and challenge of the
development of a numerical framework for polynomial algebra, where many
concepts depend discontinuously on the data and where overdetermined
representations are commonplace.
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W. Gröbner, 1899-1980,
Austrian mathematician, professor in Innsbruck
From the homepage
of Gerhard Wanner: ``Learned Mathematics from Wolfgang Gröbner''