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This paper is devoted to the study of the relatively compact sets in Quasi-Banach function spaces, providing an important improvement of the known results. As an application, we take the final step in establishing a relative compactness…

Classical Analysis and ODEs · Mathematics 2020-06-24 Weichao Guo , Guoping Zhao

We present a novel class of convolutional neural networks (CNNs) for set functions, i.e., data indexed with the powerset of a finite set. The convolutions are derived as linear, shift-equivariant functions for various notions of shifts on…

Machine Learning · Computer Science 2024-06-21 Chris Wendler , Dan Alistarh , Markus Püschel

Bent functions, or equivalently, Hadamard difference sets in the elementary Abelian group $(\gf(2^{2m}), +)$, have been employed to construct symmetric and quasi-symmetric designs having the symmetric difference property. The main objective…

Combinatorics · Mathematics 2019-04-26 Cunsheng Ding , Akihiro Munemasa , Vladimir Tonchev

In this paper, we introduce the concept of nearly convex set-valued mappings and investigate fundamental properties of these mappings. Additionally, we establish a geometric approach for generalized differentiation of nearly convex…

Optimization and Control · Mathematics 2023-02-20 Nguyen Mau Nam , Nguyen Nang Thieu , Nguyen Dong Yen

The paper proposes an artificial neural network (ANN) being a global approximator for a special class of functions, which are known as generalized homogeneous. The homogeneity means a symmetry of a function with respect to a group of…

Machine Learning · Computer Science 2023-12-01 Andrey Polyakov

In a recent survey, Schmidt compiled equivalences between generalized bent functions, group invariant Butson Hadamard matrices, and abelian splitting relative difference sets. We establish a broader network of equivalences by considering…

Combinatorics · Mathematics 2022-07-13 José Andrés Armario , Ronan Egan , Dane Flannery

In this paper we generalize the partial spread class and completely describe it for generalized Boolean functions from $\F_2^n$ to $\mathbb{Z}_{2^t}$. Explicitly, we describe gbent functions from $\F_2^n$ to $\mathbb{Z}_{2^t}$, which can be…

Information Theory · Computer Science 2015-11-06 Thor Martinsen , Wilfried Meidl , Pantelimon Stanica

Almost difference sets have emerged as a fascinating and important area of research as they can produce functions with optimal nonlinearity, cyclic codes, and binary sequences with optimal autocorrelation. This study aims to investigate the…

Group Theory · Mathematics 2024-02-01 Benedict Estrella

Generalized almost perfect nonlinear (GAPN) functions were defined to satisfy some generalizations of basic properties of almost perfect nonlinear (APN) functions for even characteristic. In this paper, we study monomial GAPN functions for…

Combinatorics · Mathematics 2017-08-03 Masamichi Kuroda

We give extensive characterizations for an open subset of an affine space of arbitrary dimension, resp. of an inverse limit of prime spectra to be quasi-compact. Among other things weak stability, retro-compactness, and cylinder sets…

Algebraic Geometry · Mathematics 2026-04-10 A. Bernhard Zeidler

The article is devoted to approximate, global and along curves differentiability of functions over non-archimedean infinite fields with non-trivial valuations. Fields with zero and non-zero characteristics are considered. Spaces of…

Classical Analysis and ODEs · Mathematics 2010-03-16 S. V. Ludkovsky

This paper proposes a generalizable, end-to-end deep learning-based method for relative pose regression between two images. Given two images of the same scene captured from different viewpoints, our method predicts the relative rotation and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-17 Fadi Khatib , Yuval Margalit , Meirav Galun , Ronen Basri

Let $F$ be a finite field, let $f$ be a function from $F$ to $F$, and let $a$ be a nonzero element of $F$. The discrete derivative of $f$ in direction $a$ is $\Delta_a f \colon F \to F$ with $(\Delta_a f)(x)=f(x+a)-f(x)$. The differential…

Information Theory · Computer Science 2026-01-01 Daniel J. Katz , Kathleen R. O'Connor , Kyle Pacheco , Yakov Sapozhnikov

We calculate and investigate the relativistic correlation function for bipartite systems of spin-1/2 in vector and spin-1 particles in tensor states. We show that the relativistic correlation function, which depends on particles momenta,…

Quantum Physics · Physics 2015-05-20 Paweł Caban , Jakub Rembieliński , Marta Włodarczyk

Vectorial dual-bent functions have recently attracted some researchers' interest as they play a significant role in constructing partial difference sets, association schemes, bent partitions and linear codes. In this paper, we further study…

Information Theory · Computer Science 2023-09-26 Jiaxin Wang , Fang-Wei Fu , Yadi Wei , Jing Yang

Only three classes of Almost Perfect Nonlinear (for short, APN) power functions over odd characteristic finite fields have been investigated in the literature, and their differential spectra were determined. The differential uniformity of…

Information Theory · Computer Science 2022-10-20 Haode Yan , Sihem Mesnager , Xiantong Tan

A one to one correspondence between regular generalized bent functions from $\F_2^n$ to $\Z_{2^m},$ and $m-$tuples of Boolean bent functions is established. This correspondence maps self-dual (resp. anti-self-dual) generalized bent…

Information Theory · Computer Science 2016-11-22 Lin Sok , MinJia Shi , Patrick Solé

An almost perfect nonlinear (APN) function (necessarily a polynomial function) on a finite field $\mathbb{F}$ is called exceptional APN, if it is also APN on infinitely many extensions of $\mathbb{F}$. In this article we consider the most…

Information Theory · Computer Science 2012-07-25 Moises Delgado , Heeralal Janwa

A. Rosenfeld introduced the notion of a digitally continuous function between digital images, and showed that although digital images need not have fixed point properties analogous to those of the Euclidean spaces modeled by the images,…

Combinatorics · Mathematics 2020-06-04 Laurence Boxer , Ozgur Ege , Ismet Karaca , Jonathan Lopez , Joel Louwsma

We give a new simple construction for known binary quadratic symmetric bent and almost bent functions. In particular, for even number of variables, they are self-dual and anti-self-dual quadratic bent functions, respectively, which are not…

Information Theory · Computer Science 2019-09-24 Josep Rifà , Victor Zinoviev