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Join Spaces and Lattices

Axioms
Hypergroups represent a generalization of groups, introduced by Marty, that are rich in applications in several sectors of mathematics and in other fields.
Violeta Leoreanu-Fotea, Sarka Hoskova-Mayerova   +1 more
doaj   +4 more sources

Join Spaces, Soft Join Spaces and Lattices [PDF]

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2014
The aim of this paper is to initiate and investigate new (soft) hy-perstructures, particularly (soft) join spaces, using important classes of lattices: modular and distributive.
Leoreanu-Fotea Violeta, Davvaz Bijan, Feng Feng, Chiper Codrina   +3 more
doaj   +2 more sources

Flows and joins of metric spaces [PDF]

Geometry & Topology, 2005
We introduce the functor * which assigns to every metric space X its symmetric join *X. As a set, *X is a union of intervals connecting ordered pairs of points in X. Topologically, *X is a natural quotient of the usual join of X with itself. We define an
Bourdon, Bourdon, Bridson, Cannon, Champetier, Chapman, Coornaert, Davis, Farrell, Ferry, Furman, Gabai, Gromov, Igor Mineyev, Mathéus, Mostow, Otal, Paulin   +17 more
core   +5 more sources

Categorical Join and Generating Families in Diffeological Spaces

Mathematics, 2023
We prove that a diffeological space is diffeomorphic to the categorical join of any generating family of plots.
E. Macías, R. Mehrabi
doaj   +3 more sources

Crossover operators for molecular graphs with an application to virtual drug screening [PDF]

Journal of Cheminformatics
Genetic algorithms are a powerful method to solve optimization problems with complex cost functions over vast search spaces that rely in particular on recombining parts of previous solutions. Crossover operators play a crucial role in this context. Here,
Nico Domschke, Bruno J. Schmidt, Thomas Gatter, Richard Golnik, Paul Eisenhuth, Fabian Liessmann, Jens Meiler, Peter F. Stadler   +7 more
doaj   +2 more sources

Distributed Distance Join Algorithm for Massive Spatial Data [PDF]

Jisuanji kexue, 2022
Spatial distance join is one of the most common operations for spatial data analysis,which has various application scenarios.Existing distributed methods face the problems of too large space,high data skew,and slow self-join.To this end,this paper ...
WANG Ru-bin, LI Rui-yuan, HE Hua-jun, LIU Tong, LI Tian-rui
doaj   +1 more source

Metric space similarity joins [PDF]

ACM Transactions on Database Systems, 2008
Similarity join algorithms find pairs of objects that lie within a certain distance ϵ of each other. Algorithms that are adapted from spatial join techniques are designed primarily for data in a vector space and often employ some form of a multidimensional index.
Edwin H. Jacox, Hanan Samet
openaire   +1 more source

Efficient Sentiment-Aware Web Crawling Methods for Constructing Sentiment Dictionary

IEEE Access, 2021
In traditional web crawling, all web pages crawled are first stored to databases. As a result, this approach can store unnecessary web pages and requires additional running time for the construction of a sentiment dictionary in a particular domain ...
Byung-Won On, Jun-Young Jo, Hyunkwang Shin, Jangwon Gim, Gyu Sang Choi, Soo-Mok Jung   +5 more
doaj   +1 more source

Joins of double coset spaces [PDF]

Pacific Journal of Mathematics, 1982
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bhattarai, H. N., Fernandez, J. W.
openaire   +2 more sources

Universal extensions of specialization semilattices [PDF]

Categories and General Algebraic Structures with Applications, 2022
A specialization semilattice is a join semilattice together with a coarser preorder ⊑ satisfying an appropriate compatibility condition. If X is a topological space, then (P(X),∪,⊑) is a specialization semilattice, where x ⊑ y if x ⊆ Ky, for x, y ⊆ X ...
Paolo Lipparini
doaj   +1 more source