NANAMar 11, 2015

Higher-order root distillers

arXiv:1503.03161h-index: 3
Originality Synthesis-oriented
AI Analysis

For numerical analysts, this provides a preconditioning technique for root-finding on intervals, though it is incremental in nature.

The paper introduces a root distiller method using high-order recursive maps to globally separate and compute real roots of functions, demonstrating accurate root computation for high-degree inexact Chebyshev polynomials.

Recursive maps of high order of convergence $m$ (say $m=2^{10}$ or $m=2^{20}$) induce certain monotone step functions from which one can filter relevant information needed to globally separate and compute the real roots of a function on a given interval $[a,b]$. The process is here called a root distiller. A suitable root distiller has a powerful preconditioning effect enabling the computation, on the whole interval, of accurate roots of an high degree polynomial. Taking as model high-degree inexact Chebyshev polynomials and using the {\sl Mathematica} system, worked numerical examples are given detailing our distiller algorithm.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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