Efficient evaluation of multivariate polynomials
Computer Aided Geometric Design
ACM Transactions on Mathematical Software (TOMS)
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
A unified approach to evaluation algorithms for multivariate polynomials
Mathematics of Computation
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
Algorithms for Quad-Double Precision Floating Point Arithmetic
ARITH '01 Proceedings of the 15th IEEE Symposium on Computer Arithmetic
SIAM Journal on Scientific Computing
Evaluation algorithms for multivariate polynomials in Bernstein--Bézier form
Journal of Approximation Theory
How to Ensure a Faithful Polynomial Evaluation with the Compensated Horner Algorithm
ARITH '07 Proceedings of the 18th IEEE Symposium on Computer Arithmetic
Accurate Floating-Point Summation Part I: Faithful Rounding
SIAM Journal on Scientific Computing
Accurate Floating-Point Summation Part II: Sign, $K$-Fold Faithful and Rounding to Nearest
SIAM Journal on Scientific Computing
Accurate evaluation of a polynomial and its derivative in Bernstein form
Computers & Mathematics with Applications
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In this paper it is presented a compensated de Casteljau algorithm to accurately evaluate a bivariate polynomial in Bernstein-Bezier form. The principle is to apply error-free transformations to improve the traditional de Casteljau algorithm. A forward error and a running error analysis are performed. Finally, some numerical experiments illustrate the accuracy of the proposed algorithm in ill-conditioned problems.