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The principles behind the sharp, singular structures in a crumpled sheet are well understood. Here we discuss more general ways of exploiting such sharp structures to control the shape of a sheet by deforming or forcing it elsewhere. Often,…

Soft Condensed Matter · Physics 2025-03-24 Thomas A. Witten , Anna Movsheva

The main purpose of this paper is to study the lattice structure of variable precision rough sets. The notion of variation in precision of rough sets have been further extended to variable precision rough set with variable classification…

Artificial Intelligence · Computer Science 2016-07-07 Sumita Basu

Covering-based rough set theory is an extension to classical rough set. The main purpose of this paper is to study covering rough sets from a topological point of view. The relationship among upper approximations based on topological spaces…

Databases · Computer Science 2012-07-30 Nguyen Duc Thuan

Title: From favorable atomic configurations to supershell structures: a new interpretation of conductance histograms Authors: A. Hasmy (IVIC), E. Medina (IVIC), P.A. Serena (CSIC,IVIC) Comments: 7 pages, 3 figures, cond-mat.anwar.10825…

Condensed Matter · Physics 2009-10-31 A. Hasmy , E. Medina , P. A. Serena

In this paper are briefly outlined the motivations, mathematical ideas in use, pre-formalization and assumptions, object-as-functor construction, `soft' types and concept constructions, case study for concepts based on variable domains,…

Logic in Computer Science · Computer Science 2007-05-23 Viacheslav Wolfengagen

Writing an uncomplicated, robust, and scalable three-dimensional convex hull algorithm is challenging and problematic. This includes, coplanar and collinear issues, numerical accuracy, performance, and complexity trade-offs. While there are…

Computational Geometry · Computer Science 2023-04-11 Ben Kenwright

In this paper, concept of possibility neutrosophic soft set and its operations are defined, and their properties are studied. An application of this theory in decision making is investigated. Also a similarity measure of two possibility…

Artificial Intelligence · Computer Science 2014-07-14 Faruk Karaaslan

In a recent paper, Chiney and Samanta have introduced a new definition of soft topology, using the soft elementary intersection and union. In this paper, basing at this approach, we introduce a definition of soft elementary compact set, and…

General Mathematics · Mathematics 2018-05-22 Mahmoud Bousselsal , Abderachid Saadi

In this paper we study the spherical convexity of quadratic functions on spherically convex sets. In particular, conditions characterizing the spherical convexity of quadratic functions on spherical convex sets associated to the positive…

Optimization and Control · Mathematics 2018-09-25 O. P. Ferreira , S. Z. Németh

Let $S$ be a finite set with $n$ elements in a real linear space. Let $\cJ_S$ be a set of $n$ intervals in $\nR$. We introduce a convex operator $\co(S,\cJ_S)$ which generalizes the familiar concepts of the convex hull $\conv S$ and the…

Metric Geometry · Mathematics 2012-06-11 Branko Ćurgus , Krzysztof Kołodziejczyk

In the paper we consider convex cones in infinite-dimensional real vector spaces which are endowed with no topology. The main purpose is to study an internal geometric structure of convex cones and to obtain an analytical description of…

Optimization and Control · Mathematics 2024-11-26 Valentin V. Gorokhovik

Soft set theory can deal uncertainties in nature by parametrization process. In this paper, we explore the objects and morphisms of category of soft sets, Sset(U) in detail. Also, gives characterizations of monomorphisms and epimorphisms in…

Category Theory · Mathematics 2019-02-05 Ratheesh K. P. , Sunil Jacob John

Recent developments in set optimization are surveyed and extended including various set relations as well as fundamental constructions of a convex analysis for set- and vector-valued functions, and duality for set optimization problems.…

Optimization and Control · Mathematics 2024-01-26 Andreas H. Hamel , Frank Heyde , Andreas Löhne , Birgit Rudloff , Carola Schrage

Integrally convex functions constitute a fundamental function class in discrete convex analysis, including M-convex functions, L-convex functions, and many others. This paper aims at a rather comprehensive survey of recent results on…

Combinatorics · Mathematics 2023-02-23 Kazuo Murota , Akihisa Tamura

We give a new characterization of pseudoconvex point, and of finite type point, using analytic discs.

Complex Variables · Mathematics 2007-05-23 Steven G. Krantz

This is a brief overview of some applications of the ideas of abstract convexity to the upper semilattices of gauges in finite dimensions.

Functional Analysis · Mathematics 2011-05-31 S. Kutateladze

Motivated by the fact that not all nonconvex optimization problems are difficult to solve, we survey in this paper three widely-used ways to reveal the hidden convex structure for different classes of nonconvex optimization problems.…

Optimization and Control · Mathematics 2019-03-01 Yong Xia

Properties of several sorts of lattices of convex subsets of R^n are examined. The lattice of convex sets containing the origin turns out, for n>1, to satisfy a set of identities strictly between those of the lattice of all convex subsets…

Metric Geometry · Mathematics 2007-06-13 George M. Bergman

The topics of Convexity and Concavity and Envelopes are central in Complex Analysis and extensively investigated. The aim of this paper is to find a possible counterpart in Algebraic Geometry. The article presents preliminary results on…

Complex Variables · Mathematics 2025-11-12 Giuseppe Tomassini

An effort has been made to show mathematicians some new ideas applied to image analysis. Gray images are presented as tilings. Based on topological properties of the tiling, a number of gray convex hulls: maximal, minimal, and oriented ones…

Computer Vision and Pattern Recognition · Computer Science 2016-08-31 Igor Polkovnikov
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