A Computer Algebra System for R: Macaulay2 and the m2r Package
Journal of Statistical Software, 2020 Algebraic methods have a long history in statistics. Apart from the ubiquitous applications of linear algebra, the most visible manifestations of modern algebra in statistics are found in the young field of algebraic statistics, which brings tools from ...
David Kahle +2 more
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09421 Abstracts Collection – Algebraic Methods in Computational Complexity [PDF]
, 2010 From 11.10. to 16.10.2009, the Dagstuhl Seminar 09421 ``Algebraic Methods in Computational Complexity '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics.
Agrawal, Manindra +3 more
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Algebraic Methods for Finite Linear Cellular Automata [PDF]
, 1996 PhDCellular automata are a simple class of extended dynamical systems which have been much studied in recent years. Linear cellular automata are the class of cellular automata most amenable to algebraic analytic treatments, algebraic techniques are ...
Dow, R. A.
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Nontrivial solutions of linear functional equations: methods and examples [PDF]
Opuscula Mathematica, 2015 For a wide class of linear functional equations the solutions are generalized polynomials. The existence of non-trivial monomial terms of the solution strongly depends on the algebraic properties of some related families of parameters.
Adrienn Varga, Csaba Vincze
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07411 Abstracts Collection – Algebraic Methods in Computational Complexity [PDF]
, 2008 From 07.10. to 12.10., the Dagstuhl Seminar 07411 ``Algebraic Methods in Computational Complexity'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current
Agrawal, Manindra +3 more
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Algebraic Methods for Traffic Flow Densities Estimation
Cybernetics and Information Technologies, 2013 An estimation approach that allows recovering of the traffic state is proposed in this paper. The method used is based on numerical differentiation, which does not need any integration of differential equations and turns out to be quite robust with ...
Abouaïssa H., Iordanova V.
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Method for solving quantifier linear equations based on the algebra of linear predicate operations
Радіоелектронні і комп'ютерні системиThe subject involves structured approaches that extend the existing set of mathematical tools for processing complex relationships within databases and computational systems.
Zoya Dudar, Volodymyr Liashyk
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Stochastic Runge–Kutta methods for multi-dimensional Itô stochastic differential algebraic equations
Results in Applied Mathematics, 2021 In this paper, we discuss the numerical solutions to index 1 stochastic differential algebraic equations. We introduce a new class of weak second-order stochastic Runge–Kutta methods for finding the numerical approximate solutions to multi-dimensional ...
Priya Nair, Anandaraman Rathinasamy
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The "fundamental theorem" for the algebraic K-theory of spaces. I [PDF]
, 2001 Hüttemann T, Klein JR, Vogell W, Waldhausen F, Williams B. The "fundamental theorem" for the algebraic K-theory of spaces. I. Journal of Pure and Applied Algebra. 2001;160(1):21-52.Let X H A(X) denote the algebraic K-theory of spaces functor.
Wolrad Vogell +10 more
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A Granular Computing Based Classification Method From Algebraic Granule Structure
IEEE Access, 2021 Classification, as one of the main task of machine learning, corresponds to the core work of granular computing, namely granulation. Most of granular computing models and related classification methods are uniquely classifying by granule features, but ...
Linshu Chen +4 more
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