Joab R. Winkler

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Structured matrix methods for the computation of multiple roots of a polynomial

Joab R. Winkler, 2014, J. Comput. Appl. Math..

Structured matrix methods for CAGD: an application to computing the resultant of polynomials in the Bernstein basis

Joab R. Winkler, Dario Bini, Luca Gemignani, 2005, Numer. Linear Algebra Appl..

Backward Errors and Condition Numbers of Regular and Singular Points on Algebraic Curves

Joab R. Winkler, 2005, IMA Conference on the Mathematics of Surfaces.

The Computation of Multiple Roots of a Bernstein Basis Polynomial

Joab R. Winkler, Yi Su, Martin Bourne, 2020, SIAM J. Sci. Comput..

The calculation of the degree of an approximate greatest common divisor of two polynomials

Joab R. Winkler, Xin Lao, 2011, J. Comput. Appl. Math..

A unified approach to resultant matrices for Bernstein basis polynomials

Joab R. Winkler, 2008, Comput. Aided Geom. Des..

Resultant matrices and the computation of the degree of an approximate greatest common divisor of two inexact Bernstein basis polynomials

Ning Yang, Joab R. Winkler, J. Winkler, 2013, Comput. Aided Geom. Des..

An improved non-linear method for the computation of a structured low rank approximation of the Sylvester resultant matrix

Joab R. Winkler, Madina Hasan, 2013, J. Comput. Appl. Math..

A non-linear structure preserving matrix method for the low rank approximation of the Sylvester resultant matrix

Joab R. Winkler, Madina Hasan, 2010, J. Comput. Appl. Math..

The Sylvester and Bézout Resultant Matrices for Blind Image Deconvolution

Joab R. Winkler, Hanan Halawani, 2018, Journal of Mathematical Imaging and Vision.

The computation of the degree of the greatest common divisor of three Bernstein basis polynomials

Yi Su, Joab R. Winkler, Martin Bourne, 2020, J. Comput. Appl. Math..

Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures

Neil D. Lawrence, Mahesan Niranjan, Joab R. Winkler, 2005, Deterministic and Statistical Methods in Machine Learning.

Condition Numbers and Least Squares Regression

Joab R. Winkler, 2007, IMA Conference on the Mathematics of Surfaces.

Backward error analysis of the roots of polynomials

Joab R. Winkler, 1999, Neural Parallel Sci. Comput..

An ill-conditioned problem in computer aided geometric design

Joab R. Winkler, 1997, Neural Parallel Sci. Comput..

A structure-preserving matrix method for the deconvolution of two Bernstein basis polynomials

Joab R. Winkler, Ning Yang, J. Winkler, 2014, Comput. Aided Geom. Des..

A Class of Bernstein Polynomials that Satisfy Descartes' Rule of Signs Exactly

Joab R. Winkler, David L. Ragozin, 2000, IMA Conference on the Mathematics of Surfaces.

The computation of multiple roots of a polynomial

Joab R. Winkler, Madina Hasan, Xin Lao, 2012, J. Comput. Appl. Math..

A comparison of the average case numerical condition of the power and bernstein polynomial bases

Joab R. Winkler, 2001, Int. J. Comput. Math..

Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning

Neil D. Lawrence, Mahesan Niranjan, Joab R. Winkler, 2004 .

A non-linear structure-preserving matrix method for the computation of the coefficients of an approximate greatest common divisor of two Bernstein polynomials

Yi Su, Joab R. Winkler, Martin Bourne, 2017, J. Comput. Appl. Math..

Mathematics of Surfaces XII, 12th IMA International Conference, Sheffield, UK, September 4-6, 2007, Proceedings

Malcolm A. Sabin, Joab R. Winkler, Ralph R. Martin, 2007, IMA Conference on the Mathematics of Surfaces.

Condition estimation for regression and feature selection

Joab R. Winkler, Marilena Mitrouli, J. Winkler, 2020, J. Comput. Appl. Math..

High Order Terms for Condition Estimation of Univariate Polynomials

Joab R. Winkler, J. Winkler, 2006, SIAM J. Sci. Comput..

The Sylvester Resultant Matrix and Image Deblurring

Joab R. Winkler, 2014, Curves and Surfaces.

A note on the backward error of the roots of polynomials

Joab R. Winkler, 2001, Neural Parallel Sci. Comput..

The application of regularisation to variable selection in statistical modelling

Joab R. Winkler, Christos Koukouvinos, Marilena Mitrouli, 2021, J. Comput. Appl. Math..

The computation of the greatest common divisor of three bivariate Bernstein polynomials defined in a rectangular domain

Joab R. Winkler, Yi Su, Martin Bourne, 2021 .

An approximate factorisation of three bivariate Bernstein basis polynomials defined in a triangular domain

Joab R. Winkler, Martin Bourne, Yi Su, 2021, J. Comput. Appl. Math..

The transformation of the companion matrix resultant between the power and Bernstein polynomial bases

Joab R. Winkler, J. Winkler, 2004 .

Tikhonov regularisation in standard form for polynomial basis conversion

Joab R. Winkler, J. Winkler, 1997 .

Elimination of spurious modes in finite element analysis

Joab R. Winkler, J. Winkler, J. Davies, 1984 .

A companion matrix resultant for Bernstein polynomials

Joab R. Winkler, 2003 .

Polynomial basis conversion made stable by truncated singular value decomposition

Joab R. Winkler, 1997 .

Numerical and Algebraic Properties of Bernstein Basis Resultant Matrices

Joab R. Winkler, J. Winkler, 2005 .

Case study of a wave event in the stable atmospheric boundary layer overlying an Antarctic Ice Shelf using the orthogonal wavelet transform

Wieslaw J. Staszewski, Joab R. Winkler, Julia M. Rees, 2001 .

Uncertainty in geometric computations

Mahesan Niranjan, Joab R. Winkler, M. Niranjan, 2002 .

Condition numbers of a nearly singular simple root of a polynomial

Joab R. Winkler, 2001 .

Polynomial computations for blind image deconvolution

Joab R. Winkler, J. Winkler, 2016 .

Two methods for the calculation of the degree of an approximate greatest common divisor of two inexact polynomials

Joab R. Winkler, Madina Hasan, J. Winkler, 2012 .

Properties of the Companion Matrix Resultant for Bernstein Polynomials

Joab R. Winkler, 2002 .