<p>Figure shows convergence rate comparation of different spectral methods for a linear BVP with Dirichlet boundary conditions.</p> <p>The main point is to show how Bernstein polynomial collocation compares to spectral methods based on Chebyshev polynomials.</p> <p>Bernstein polynomials are not widely used for that purpose as some well-known orthogonal polynomials are, therefore the purpose here is to bring some more attention to them.</p> <p>Free code for Bernstein polynomial collocation is available on the web - see link below.</p> <p>Also see another link below for discussion on scicomp.stackexchange Q&A site where the linear BVP in question has been formulated.</p
Spectral methods enjoy a variety of well known virtues for the solution of ordinary and partial diff...
An algorithm for approximating solutions to 2nd-order linear differential equations with polynomial ...
The Bernstein operator is one of the important topics of approximation theory in which it has been s...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
Along with finite differences and finite elements, spectral methods are one of the three main method...
Spectral integration is a method for solving linear boundary value problems which uses the Chebyshev...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
We consider an application of Bernstein polynomials for estimating a spectral density of a stationar...
Spectral methods enjoy a variety of well known virtues for the solution of ordinary and partial diff...
AbstractA new spectral-variation bound is established for linear operators A and B on finite-dimensi...
AbstractWe use maximum principles and classical estimates for the rate of convergence of orthogonal ...
AbstractWassily Hoeffding (J. Approximation Theory 4 (1971), 347–356) obtained a convergence rate fo...
Spectral methods enjoy a variety of well known virtues for the solution of ordinary and partial diff...
An algorithm for approximating solutions to 2nd-order linear differential equations with polynomial ...
The Bernstein operator is one of the important topics of approximation theory in which it has been s...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
This book is a basic and comprehensive introduction to the use of spectral methods for the approxima...
Along with finite differences and finite elements, spectral methods are one of the three main method...
Spectral integration is a method for solving linear boundary value problems which uses the Chebyshev...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
Spectral methods represent a family of methods for the numerical approximation of partial differenti...
We consider an application of Bernstein polynomials for estimating a spectral density of a stationar...
Spectral methods enjoy a variety of well known virtues for the solution of ordinary and partial diff...
AbstractA new spectral-variation bound is established for linear operators A and B on finite-dimensi...
AbstractWe use maximum principles and classical estimates for the rate of convergence of orthogonal ...
AbstractWassily Hoeffding (J. Approximation Theory 4 (1971), 347–356) obtained a convergence rate fo...
Spectral methods enjoy a variety of well known virtues for the solution of ordinary and partial diff...
An algorithm for approximating solutions to 2nd-order linear differential equations with polynomial ...
The Bernstein operator is one of the important topics of approximation theory in which it has been s...