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Algebraic Methods in Mathematical Biology [PDF]
Bulletin of Mathematical Biology, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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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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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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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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Gelfond's Method for Algebraic Independence [PDF]
Transactions of the American Mathematical Society, 1975 This paper extends Gelfond’s method for algebraic independence to fields K K with transcendence type
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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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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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An application of algebraic geometry in optimization
آموزش مهندسی ایران, 2019 Algebraic geometry is one of the dynamic branches of pure mathematics, which has received a large part of the current research of mathematical experts in the world. In this branch of science, geometric issues are expressed in algebraic language. With the
Dawood Hassanzadeh Lelekaami
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An Analysis of Fifth and Sixth Graders' Algebraic Thinking about Reverse Fraction Problems
Journal of Educational Research in Mathematics, 2020 In light of a growing emphasis on the relationship between fractional knowledge and algebraic thinking, the purpose of this study was to compare algebraic thinking about reverse fraction problems between fifth graders who had not been taught fraction ...
JeongSuk Pang, SeonMi Cho, Minsung Kwon
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