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200 papers

The rise of advanced computational algorithms has opened new avenues for computationally intensive research approaches to theory development. However, the opacity of these algorithms and lack of transparency and rigour in their application…

Computation and Language · Computer Science 2025-07-02 Malmi Amadoru

Networks provide a meaningful way to represent and analyze complex biological information, but the methodological details of network-based tools are often described for a technical audience. Graphery is a hands-on tutorial webserver…

Molecular Networks · Quantitative Biology 2024-02-19 Heyuan Zeng , Jinbiao Zhang , Gabriel A. Preising , Tobias Rubel , Pramesh Singh , Anna Ritz

This paper is mainly a semi-tutorial introduction to elementary algebraic topology and its applications to Ising-type models of statistical physics, using graphical models of linear and group codes. It contains new material on systematic…

Information Theory · Computer Science 2018-12-20 G. David Forney

The book covers basics of noncommutative geometry and its applications in topology, algebraic geometry and number theory. A brief survey of main parts of noncommutative geometry with historical remarks, bibliography and a list of exercises…

Operator Algebras · Mathematics 2017-11-15 Igor Nikolaev

This paper aims to provide a careful and self-contained introduction to the theory of topological degree in Euclidean spaces. It is intended for people mostly interested in analysis and, in general, a heavy background in algebraic or…

Functional Analysis · Mathematics 2023-04-14 Pierluigi Benevieri , Massimo Furi , Maria Patrizia Pera , Marco Spadini

The soft topological spaces and some their related concepts have stud- ied in [7]. In this paper, we introduce and study the notions of soft connected topological spaces after a review of preliminary definitions.

General Topology · Mathematics 2012-02-09 E. Peyghan , B. Samadi , A. Tayebi

Clustering is one of the most common tasks of Machine Learning. In this paper we examine how ideas from topology can be used to improve clustering techniques.

Algebraic Topology · Mathematics 2023-08-15 Dimitrios Panagopoulos

Phonology, as it is practiced, is deeply computational. Phonological analysis is data-intensive and the resulting models are nothing other than specialized data structures and algorithms. In the past, phonological computation - managing…

Computation and Language · Computer Science 2014-11-17 Steven Bird

In this paper we present algorithms for computing the topology of planar and space rational curves defined by a parametrization. The algorithms given here work directly with the parametrization of the curve, and do not require to compute or…

Symbolic Computation · Computer Science 2015-02-17 Juan Gerardo Alcazar , Gema Maria Diaz-Toca

We give an exposition of Natural Topology (NToP), which highlights its advantages for exact computation. The NToP-definition of the real numbers (and continuous real functions) matches recent expert recommendations for exact real…

General Topology · Mathematics 2018-06-06 Frank Waaldijk

In this survey, we discuss the evolution of distributed computing from the utility computing to the fog computing, various research challenges for the development of fog computing environments, the current status on fog computing research…

Networking and Internet Architecture · Computer Science 2018-04-13 Shubha Brata Nath , Harshit Gupta , Sandip Chakraborty , Soumya K Ghosh

The development of computational techniques in the last decade has made possible to attack some classical problems of algebraic geometry. In this survey, we briefly describe some open problems related to algebraic curves which can be…

Commutative Algebra · Mathematics 2007-05-23 Tanush Shaska

This book is expository and is in Russian. It is shown how in the course of solution of interesting geometric problems (close to applications) naturally appear main notions of algebraic topology (homology groups, obstructions and…

Geometric Topology · Mathematics 2016-05-18 A. Skopenkov

Natural data offer a hard challenge to data analysis. One set of tools is being developed by several teams to face this difficult task: Persistent topology. After a brief introduction to this theory, some applications to the analysis and…

Algebraic Topology · Mathematics 2017-08-21 Massimo Ferri

We discuss selected topics on the topology of moduli spaces of curves and maps, emphasizing their relation with Gromov--Witten theory and integrable systems.

Algebraic Geometry · Mathematics 2008-09-12 Y. -P. Lee , R. Vakil

This is an introduction to the Atlas of Lie Groups and Representations software, for computing representation and structure theory of real reductive groups. The user is led through the basic commands of the software, via numerous examples.…

Representation Theory · Mathematics 2008-07-22 Jeffrey Adams

We provide a short introduction to the field of topological data analysis and discuss its possible relevance for the study of complex systems. Topological data analysis provides a set of tools to characterise the shape of data, in terms of…

Data Analysis, Statistics and Probability · Physics 2018-12-05 Vsevolod Salnikov , Daniele Cassese , Renaud Lambiotte

Topological data analysis provides a collection of tools to encapsulate and summarize the shape of data. Currently it is mainly restricted to \emph{mapper algorithm} and \emph{persistent homology}. In this paper we introduce new…

Algebraic Topology · Mathematics 2019-01-23 Paweł Dłotko

In this text we expose basic cases of some fundamental ideas and methods of topology. Namely, of homotopy, degree, fundamental group, covering, Whitehead invariant, etc. This is done by considering the elementary example: closed polygonal…

History and Overview · Mathematics 2026-05-07 E. Alkin , O. Nikitenko , A. Skopenkov

This report has two objectives. First, we describe a set of the production distributed infrastructures currently available, so that the reader has a basic understanding of them. This includes explaining why each infrastructure was created…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-08-14 Daniel S. Katz , Shantenu Jha , Manish Parashar , Omer Rana , Jon Weissman