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Smale's alpha-theory uses estimates related to the convergence of Newton's method to give criteria implying that Newton iterations will converge quadratically to solutions to a square polynomial system. The program alphaCertified implements…

Numerical Analysis · Mathematics 2011-09-22 Jonathan D. Hauenstein , Frank Sottile

It is highly desirable for a numerical approximation of a stationary point for a potential energy landscape to lie in the quadratic convergence basin of that stationary point. However, it is possible that an approximation may lie only in…

Soft Condensed Matter · Physics 2015-06-15 Dhagash Mehta , Jonathan D. Hauenstein , David J. Wales

Typically, there is no guarantee that a numerical approximation obtained using standard nonlinear equation solvers is indeed an actual solution, meaning that it lies in the quadratic convergence basin. Instead, it may lie only in the linear…

Chemical Physics · Physics 2014-07-21 Dhagash Mehta , Jonathan D. Hauenstein , David J. Wales

Computational tools in numerical algebraic geometry can be used to numerically approximate solutions to a system of polynomial equations. If the system is well-constrained (i.e., square), Newton's method is locally quadratically convergent…

Algebraic Geometry · Mathematics 2019-10-16 Jonathan Hauenstein , Avinash Kulkarni , Emre Can Sertöz , Samantha Sherman

In his 1981 Fundamental Theorem of Algebra paper Steve Smale initiated the complexity theory of finding a solution of polynomial equations of one complex variable by a variant of Newton's method. In this paper we reconsider his algorithm in…

Numerical Analysis · Mathematics 2015-03-20 Diego Armentano , Michael Shub

In this paper we propose some very promissing results in interval arithmetics which permit to build well-defined arithmetics including distributivity of multiplication and division according addition and substraction. Thus, it allows to…

Numerical Analysis · Computer Science 2011-07-20 Nicolas Goze , Michel Goze , Abdel Kenoufi , Elisabeth Remm

Formulating a Schubert problem as the solutions to a system of equations in either Pl\"ucker space or in the local coordinates of a Schubert cell usually involves more equations than variables. Using reduction to the diagonal, we previously…

Algebraic Geometry · Mathematics 2015-07-09 Nickolas Hein , Frank Sottile

We introduce a new approach to the the asymptotic iteration method (AIM) by means of which we establish the standard AIM connection with the continued fractions technique and we develop a novel termination condition in terms of the…

Classical Analysis and ODEs · Mathematics 2023-03-07 Davide Batic , Marek Nowakowski

We introduce a general method, named the h-function method, to unify the constructions of level-alpha exact test and 1-alpha exact confidence interval. Using this method, any confidence interval is improved as follows: i) an approximate…

Statistics Theory · Mathematics 2021-08-27 Weizhen Wang

In engineering, models are often used to represent the behavior of a system. Estimators are then needed to approximate the values of the model's parameters based on observations. This approximation implies a difference between the values…

Robotics · Computer Science 2024-11-27 Maël Godard , Luc Jaulin , Damien Massé

We establish interval arithmetic as a practical tool for certification in numerical algebraic geometry. Our software HomotopyContinuation.jl now has a built-in function certify, which proves the correctness of an isolated nonsingular…

Algebraic Geometry · Mathematics 2024-07-12 Paul Breiding , Kemal Rose , Sascha Timme

The numerical computation of the exponentiation of a real matrix has been intensively studied. The main objective of a good numerical method is to deal with round-off errors and computational cost. The situation is more complicated when…

Numerical Analysis · Computer Science 2009-08-28 Alexandre Goldsztejn

Allen's Interval Algebra constitutes a framework for reasoning about temporal information in a qualitative manner. In particular, it uses intervals, i.e., pairs of endpoints, on the timeline to represent entities corresponding to actions,…

Artificial Intelligence · Computer Science 2019-09-04 Tomi Janhunen , Michael Sioutis

Stable distributions provide a flexible framework for modeling heavy-tailed and skewed data, with the stability index $\alpha$ quantifying tail heaviness. We propose a new semiparametric estimator for $\alpha$ that leverages the two-sum…

Methodology · Statistics 2025-08-19 Cornelis J. Potgieter , Jacques van Appel , Sudharshan Samaratunga

A numerical procedure and its MAPLE implementation capable of rigorously, albeit in a brute-force manner, proving specific strict one-variable inequalities in specific finite intervals is described. The procedure is useful, for instance, to…

Classical Analysis and ODEs · Mathematics 2017-01-11 Man Kam Kwong

The work is devoted to the construction of a new type of intervals -- functional intervals. These intervals are built on the idea of expanding boundaries from numbers to functions. Functional intervals have shown themselves to be promising…

Numerical Analysis · Mathematics 2022-10-27 Dmitry A. Skorik

Floating-point arithmetic (FPA) is a mechanical representation of real arithmetic (RA), where each operation is replaced with a rounded counterpart. Various numerical properties can be verified by using SMT solvers that support the logic of…

Logic in Computer Science · Computer Science 2021-12-07 Daisuke Ishii , Takashi Tomita , Toshiaki Aoki

I present the Automated Line Fitting Algorithm, ALFA, a new code which can fit emission line spectra of arbitrary wavelength coverage and resolution, fully automatically. In contrast to traditional emission line fitting methods which…

Solar and Stellar Astrophysics · Physics 2016-01-20 Roger Wesson

System identification is an important area of science, which aims to describe the characteristics of the system, representing them by mathematical models. Since many of these models can be seen as recursive functions, it is extremely…

Signal Processing · Electrical Eng. & Systems 2018-07-27 P. F. S. Guedes , M. L. C. Peixoto , O. A. R. O. Freitas , A. M. Barbosa , S. A. M. Martins , E. G. Nepomuceno

Approximation algorithms for classical constraint satisfaction problems are one of the main research areas in theoretical computer science. Here we define a natural approximation version of the QMA-complete local Hamiltonian problem and…

Quantum Physics · Physics 2016-10-25 Sevag Gharibian , Julia Kempe
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