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We introduce a new type of reduction of inversive difference polynomials that is associated with a partition of the basic set of automorphisms $\sigma$ and uses a generalization of the concept of effective order of a difference polynomial.…

Rings and Algebras · Mathematics 2023-09-12 Alexander Levin

Order of magnitude reasoning - reasoning by rough comparisons of the sizes of quantities - is often called 'back of the envelope calculation', with the implication that the calculations are quick though approximate. This paper exhibits an…

Artificial Intelligence · Computer Science 2011-05-30 E. Davis

A Lagrange multiplier theorem is derived for the case of an imprecise objective function and a precise constraint. The proof uses methods of analysis which deal in a direct, algebraic way with imprecisions. They include imprecise…

Optimization and Control · Mathematics 2021-06-29 Nam Van Tran , Imme van den Berg

Various characterizations are offered of injectivity of the canonical fundamental group homomorphism for a certain class of inverse limit spaces. One application characterizes the existence of a kind of generalized universal cover.

Algebraic Topology · Mathematics 2007-05-23 Paul Fabel

In the article a technique of the usage of $f$-continuous functions (on mappings) and their families is developed. A proof of the Urysohn's Lemma for mappings is presented and a variant of the Brouwer-Tietze-Urysohn Extension Theorem for…

General Topology · Mathematics 2024-06-13 Mikhail Yourievich Liseev

Nonlocal patch-based methods, in particular the Bayes' approach of Lebrun, Buades and Morel (2013), are considered as state-of-the-art methods for denoising (color) images corrupted by white Gaussian noise of moderate variance. This paper…

Computer Vision and Pattern Recognition · Computer Science 2016-12-14 Friederike Laus , Mila Nikolova , Johannes Persch , Gabriele Steidl

In this paper, we generalize the existence result in [14] and prove convergence theorems of the iterative scheme in [12, 16] for monotone generalized alpa-nonexpansive mappings in uniformly convex partially ordered hyperbolic metric spaces.…

Functional Analysis · Mathematics 2020-06-29 Chang Il Rim , Jong Gyong Kim , Chol-Hui Yun

In this paper we consider a simple algebraic structure --- sets with a single endofunction. We shall see that from the point of view of limits, even this simplest case is both interesting and difficult. Nevertheless we obtain the shape of…

Combinatorics · Mathematics 2017-05-08 L. Hosseini , J. Nesetril , P. Ossona de Mendez

In this paper we describe a novel a procedure to build a linear order from an arbitrary poset which (i) preserves the original ordering and (ii) allows to extend monotonic and antitonic mappings defined over the original poset to monotonic…

Discrete Mathematics · Computer Science 2010-06-15 Nicolas Madrid Labrador , Umberto Straccia

In this paper, we prove a crucial theorem called Mirroring Theorem which affirms that given a collection of samples with enough information in it such that it can be classified into classes and subclasses then (i) There exists a mapping…

Machine Learning · Computer Science 2009-11-03 Dasika Ratna Deepthi , K. Eswaran

The nonlinear concepts of mixed summable families and maps for the spaces that only non-void sets are developed. Several characterizations of the corresponding concepts are achieved and the proof for a general Pietsch Domination-type…

Functional Analysis · Mathematics 2021-07-13 Salam Adel Al-Bayati , Akram Al-Sabbagh , Manaf Adnan Saleh Saleh

These lecture notes evolve around mathematical concepts arising in inverse problems. We start by introducing inverse problems through examples such as differentiation, deconvolution, computed tomography and phase retrieval. This then leads…

Numerical Analysis · Mathematics 2025-08-26 Danielle Bednarski , Tim Roith

In this article we study fine regularity properties for mappings of finite distortion. Our main theorems yield strongly localized regularity results in the borderline case in the class of maps of exponentially integrable distortion.…

Complex Variables · Mathematics 2021-09-28 Olli Hirviniemi , István Prause , Eero Saksman

The adoption of increasingly complex deep models has fueled an urgent need for insight into how these models make predictions. Counterfactual explanations form a powerful tool for providing actionable explanations to practitioners.…

Machine Learning · Computer Science 2024-11-05 Paraskevas Pegios , Aasa Feragen , Andreas Abildtrup Hansen , Georgios Arvanitidis

We consider abstract inverse problems between infinite-dimensional Banach spaces. These inverse problems are typically nonlinear and ill-posed, making the inversion with limited and noisy measurements a delicate process. In this work, we…

Functional Analysis · Mathematics 2022-12-20 Giovanni S. Alberti , Ángel Arroyo , Matteo Santacesaria

In order to apply nonstandard methods to modern algebraic geometry, as a first step in this paper we study the applications of nonstandard constructions to category theory. It turns out that many categorial properties are well behaved under…

Category Theory · Mathematics 2008-07-08 Lars Bruenjes , Christian Serpe

In this paper we present a new mathematical conception based on a new method for ordering the integers. The method relies on the assumption that negative numbers are beyond infinity, which goes back to Wallis and Euler. We also present a…

General Mathematics · Mathematics 2009-09-09 Rom Varshamov , Armen Bagdasaryan

In this paper, we consider the Halpern iteration scheme for a finite family of quasinonexpansive mappings and then prove a strong convergence theorem to their common fixed point in a complete geodesic space with curvature bounded above by…

Functional Analysis · Mathematics 2019-11-19 Tatsuki Ezawa , Yasunori Kimura

This article is the introductory part of authors PhD thesis. The article presents a new coordinate invariant definition of quasiregular and quasiconformal mappings on Riemannian manifolds that generalizes the definition of quasiregular…

Differential Geometry · Mathematics 2014-08-12 Tony Liimatainen

In recent years, there have been significant advances in the use of deep learning methods in inverse problems such as denoising, compressive sensing, inpainting, and super-resolution. While this line of works has predominantly been driven…

Machine Learning · Statistics 2023-01-31 Jonathan Scarlett , Reinhard Heckel , Miguel R. D. Rodrigues , Paul Hand , Yonina C. Eldar