Tag polynomials

Sequential Evaluation of Polynomials

Sequential Evaluation of Polynomials If you don’t have any parallelism available, Horner’s scheme is a good option. And if you have the...

Polynomials With Exact Representable Coefficients

An Iterative Method Compute the minimax approximation in a wider format. Then round the coefficient of the constant term. Then recompute...

Introduction to Polynomial Approximations In Finite Precision

We discussed calculating the minimax polynomial using Remez’s Algorithm, but we overlooked some subtleties. While the algorithm does...

Accurately Computing Supremum Norms

We never discussed how to calculate \(||f-p||_{\infty}\). Maple has a function to do this, but it can be inaccurate. Most people will...

Rational Approximations

Sometimes you need a fairly high degree polynomial to get reasonable accuracy, but can achieve a far greater accuracy with a much lower...

Remez’s Algorithm

Remez’s algorithm is one that converges to the minimax polynomial of a function. The author recommends using a polynomial approximation...

Miscellaneous (Chebyshev)

Chebyshev vs Minimax Note that the best minimax polynomial approximation need not be the Chebyshev polynomial. The latter is the best...

Least Maximum Polynomial Approximations

The supremum norm is given by \(||f-p||_{\infty}=\max_{a\le x\le b}|f(x)-p(x)|\). It is denoted by \(L^{\infty}\). Given a function...

Least Squares Polynomial Approximations

First, just a definition: A monic polynomial is one whose leading coefficient is 1. We want to find a polynomial of degree \(n\) that...

Introduction to The Classical Theory of Polynomial or Rational Approximations

We often will approximate functions as polynomial or rational functions. When doing this, we introduce two types of errors:...