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Several tools have been developed to enhance automation of theorem proving in the 2D plane. However, in 3D, only a few approaches have been studied, and to our knowledge, nothing has been done in higher dimensions. In this paper, we present…

Computational Geometry · Computer Science 2022-01-04 Pascal Schreck , Nicolas Magaud , David Braun

Fractal geometry deals mainly with irregularity and captures the complexity of a structure or phenomenon. In this article, we focus on the approximation of set-valued functions using modern machinery on the subject of fractal geometry. We…

Functional Analysis · Mathematics 2025-09-23 Parneet Kaur , Rattan Lal , Ankit Kumar , Saurabh Verma

Engineering safe and secure cyber-physical systems requires system engineers to develop and maintain a number of model views, both dynamic and static, which can be seen as algebras. We posit that verifying the composition of requirement,…

Systems and Control · Electrical Eng. & Systems 2021-12-28 Georgios Bakirtzis , Eswaran Subrahmanian , Cody H. Fleming

This paper describes a computational framework for a grammar architecture in which different linguistic domains such as morphology, syntax, and semantics are treated not as separate components but compositional domains. Word and phrase…

cmp-lg · Computer Science 2008-02-03 Cem Bozsahin , Elvan Gocmen

We propose a novel polyhedral uncertainty set for robust optimization, termed the smooth uncertainty set, which captures dependencies of uncertain parameters by constraining their pairwise differences. The bounds on these differences may be…

Optimization and Control · Mathematics 2025-10-13 Noam Goldberg , Michael Poss , Shimrit Shtern

Euler diagrams are a tool for the graphical representation of set relations. Due to their simple way of visualizing elements in the sets by geometric containment, they are easily readable by an inexperienced reader. Euler diagrams where the…

Computational Geometry · Computer Science 2024-06-12 Dominik Dürrschnabel , Uta Priss

An open question in \emph{Imprecise Probabilistic Machine Learning} is how to empirically derive a credal region (i.e., a closed and convex family of probabilities on the output space) from the available data, without any prior knowledge or…

Machine Learning · Statistics 2025-01-29 Michele Caprio , David Stutz , Shuo Li , Arnaud Doucet

We construct the quaternion algebra [10] "geometrically" by a three dimensional analogue of the classic two dimensional geometric description of the complex field. The algebraic description of the multiplication operation in three…

Rings and Algebras · Mathematics 2010-12-13 Bob Palais

We study a composition operator on Lorentz spaces. In particular we provide necessary and sufficient conditions under which a measurable mapping induces a bounded composition operator.

Functional Analysis · Mathematics 2021-05-27 Nikita Evseev

We present a number of new piecewise-polynomial kernels for image interpolation. The kernels are constructed by optimizing a measure of interpolation quality based on the magnitude of anisotropic artifacts. The kernel design process is…

Computer Vision and Pattern Recognition · Computer Science 2021-06-09 Peter Karpov

In this note, we establish an equivalence of categories between the category of all eight-dimensional composition algebras with any given quadratic form $n$ over a field $k$ of characteristic not two, and a category arising from an action…

Rings and Algebras · Mathematics 2017-01-11 Seidon Alsaody

In this work, following the Discrete de Rham (DDR) paradigm, we develop an arbitrary-order discrete divdiv complex on general polyhedral meshes. The construction rests 1) on discrete spaces that are spanned by vectors of polynomials whose…

Numerical Analysis · Mathematics 2024-09-13 Daniele A. Di Pietro , Marien-Lorenzo Hanot

This paper introduces almost partitionable sets to generalize the known concept of partitionable sets. These notions provide a unified frame to construct $\mathbb{Z}$-cyclic patterned starter whist tournaments and cyclic balanced sampling…

Combinatorics · Mathematics 2023-11-27 Yanxun Chang , Simone Costa , Tao Feng , Xiaomiao Wang

We present a geometric algorithm to compute the geometric kernel of a generic polyhedron. The geometric kernel (or simply kernel) is definedas the set of points from which the whole polyhedron is visible. Whilst the computation of the…

Computational Geometry · Computer Science 2021-10-28 Tommaso Sorgente , Silvia Biasotti , Michela Spagnuolo

Learning compact and interpretable representations is a very natural task, which has not been solved satisfactorily even for simple binary datasets. In this paper, we review various ways of composing experts for binary data and argue that…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Marc Goessling , Yali Amit

The paper describes multistage design of composite (modular) systems (i.e., design of a system trajectory). This design process consists of the following: (i) definition of a set of time/logical points; (ii) modular design of the system for…

Artificial Intelligence · Computer Science 2013-06-20 Mark Sh. Levin

In this paper we study the complex symmetry in the several variable Fock space by using the techniques of weighted composition operators and semigroups. We characterize unbounded weighted composition operators that are (real) complex…

Functional Analysis · Mathematics 2023-12-11 Pham Viet Hai , Pham Trong Tien

We examine doing probabilistic descent over manifolds implicitly defined by a set of polynomials with rational coefficients. The system of polynomials is assumed to be triangularized. An application of Whitney's embedding theorem allows us…

Optimization and Control · Mathematics 2018-08-28 David W. Dreisigmeyer

In this paper, we study the composition operators on an algebra of Dirichlet series, the analogue of the Wiener algebra of absolutely convergent Taylor series, which we call the Wiener-Dirichlet algebra. We study the connection between the…

Functional Analysis · Mathematics 2007-05-23 Frédéric Bayart , Catherine Finet , Daniel Li , Hervé Queffélec

The main goal of this paper is to present the application of structural sums, mathematical objects originating from the computational materials science, in construction of a feature space vector of 2D random composites simulated by…

Computational Engineering, Finance, and Science · Computer Science 2019-06-19 Wojciech Nawalaniec