Daniel J. Bates
Colorado State University
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Featured researches published by Daniel J. Bates.
SIAM Journal on Numerical Analysis | 2008
Daniel J. Bates; Jonathan D. Hauenstein; Andrew J. Sommese; Charles W. Wampler
This article treats numerical methods for tracking an implicitly defined path. The numerical precision required to successfully track such a path is difficult to predict a priori, and indeed it may change dramatically through the course of the path. In current practice, one must either choose a conservatively large numerical precision at the outset or rerun paths multiple times in successively higher precision until success is achieved. To avoid unnecessary computational cost, it would be preferable to adaptively adjust the precision as the tracking proceeds in response to the local conditioning of the path. We present an algorithm that can be set to either reactively adjust precision in response to step failure or proactively set the precision using error estimates. We then test the relative merits of reactive and proactive adaptation on several examples arising as homotopies for solving systems of polynomial equations.
SIAM Journal on Numerical Analysis | 2009
Daniel J. Bates; Jonathan D. Hauenstein; Chris Peterson; Andrew J. Sommese
The solution set
Archive | 2008
Daniel J. Bates; Jonathan D. Hauenstein; Andrew J. Sommese; Charles W. Wampler
V
Numerical Algorithms | 2011
Daniel J. Bates; Jonathan D. Hauenstein; Andrew J. Sommese
of a polynomial system, i.e., the set of common zeroes of a set of multivariate polynomials with complex coefficients, may contain several components, e.g., points, curves, surfaces, etc. Each component has attached to it a number of quantities, one of which is its dimension. Given a numerical approximation to a point
Experimental Mathematics | 2011
Daniel J. Bates; Luke Oeding
\mathbf{p}
Foundations of Computational Mathematics | 2011
Daniel J. Bates; Frank Sottile
on the set
Siam Journal on Optimization | 2011
Philipp Rostalski; Ioannis A. Fotiou; Daniel J. Bates; A. Giovanni Beccuti
V
Archive | 2009
Daniel J. Bates; Jonathan D. Hauenstein; Chris Peterson; Andrew J. Sommese
, this article presents an efficient algorithm to compute the maximum dimension of the irreducible components of
Experimental Mathematics | 2013
Daniel J. Bates; Jonathan D. Hauenstein; Timothy M. McCoy; Chris Peterson; Andrew J. Sommese
V
international congress on mathematical software | 2014
Daniel A. Brake; Daniel J. Bates; Wenrui Hao; Jonathan D. Hauenstein; Andrew J. Sommese; Charles W. Wampler
which pass through