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
doaj +3 more sources
Inference with Linear Equality and Inequality Constraints Using R: The Package ic.infer [PDF]
Journal of Statistical Software, 2010 In linear models and multivariate normal situations, prior information in linear inequality form may be encountered, or linear inequality hypotheses may be subjected to statistical tests.
Ulrike Grömping
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
semanticscholar +1 more source
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
semanticscholar +1 more source
l1 solution of linear inequalities [PDF]
IMA Journal of Numerical Analysis, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pinar, M.C., Chen, B.
openaire +3 more sources
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
semanticscholar +1 more source
Linear generalizations of Gronwall’s inequality [PDF]
Proceedings of the American Mathematical Society, 1976 A variety of linear generalizations of Gronwall's inequality, including recent multivariable results of D. R. Snow and E. C. Young, are subsumed and extended by simple arguments involving the resolvent kernel of the integral operator.
Chandra, Jagdish, Davis, Paul W.
openaire +2 more sources