Linear interval inequalities [PDF]
Linear and Multilinear Algebra, 1994 We prove that a system of linear inequalities with interval-valued data is weakly solvable (each system obtained by fixing coefficeints in the intervals prescribed has a solution) if and only if it is strongly solvable (all such systems have a solution in common) and desribe an algorithm for checking strong solvability.
J. Rohn, Jana Krešlová
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Correction: Non-linear links between human capital, educational inequality and income inequality, evidence from China. [PDF]
PLoS ONE[This corrects the article DOI: 10.1371/journal.pone.0288966.].
Mo Xu +3 more
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A theorem about linear rank inequalities that depend on the characteristic of the finite field
Selecciones Matemáticas, 2022 A linear rank inequality is a linear inequality that holds by dimensions of vector spaces over any finite field. A characteristic-dependent linear rank inequality is also a linear inequality that involves dimensions of vector spaces but this holds over ...
Victor Peña-Macias
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Pullback attractor of Hopfield neural networks with multiple time-varying delays
AIMS Mathematics, 2021 This paper deals with the attractor problem of Hopfield neural networks with multiple time-varying delays. The mathematical expression of the networks cannot be expressed in the vector-matrix form due to the existence of the multiple delays, which leads ...
Qinghua Zhou +3 more
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On Robust Global Error Bounds for a Class of Uncertain Piecewise Linear Inequality Systems
Axioms, 2022 This paper is concerned with the radius of robust global error bounds for an uncertain piecewise linear inequality system where the uncertain data are assumed to be in polytope uncertain sets.
Wen Tan, Xiaole Guo, Xiangkai Sun
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Impacts of Overall Financial Development, Access and Depth on Income Inequality
Economies, 2022 There is dense literature on the relationship between financial sector development (FSD) and income inequality. However, most of these studies employ a depth measure of FSD. This study argues that different components of FSD have a heterogenous impact on
Nokulunga Mbona
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Finite-dimensional Gaussian approximation with linear inequality constraints [PDF]
SIAM/ASA J. Uncertain. Quantification, 2017 Introducing inequality constraints in Gaussian process (GP) models can lead to more realistic uncertainties in learning a great variety of real-world problems.
A. F. López-Lopera +3 more
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Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC [PDF]
Springer Proceedings in Mathematics & statistics, 2018 Adding inequality constraints (e.g. boundedness, monotonicity, convexity) into Gaussian processes (GPs) can lead to more realistic stochastic emulators. Due to the truncated Gaussianity of the posterior, its distribution has to be approximated.
A. F. López-Lopera +3 more
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Linear inequalities in primes [PDF]
Journal d'Analyse Mathématique, 2021 In this paper we prove an asymptotic formula for the number of solutions in prime numbers to systems of simultaneous linear inequalities with algebraic coefficients. For $m$ simultaneous inequalities we require at least $m+2$ variables, improving upon existing methods, which generically require at least $2m+1$ variables. Our result also generalises the
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A fast eigenvalue approach for solving the trust region subproblem with an additional linear inequality [PDF]
Computational and Applied Mathematics, 2015 In this paper, we study the extended trust region subproblem (eTRS) in which the trust region intersects the Euclidean ball with a single linear inequality constraint.
M. Salahi, A. Taati
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