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Content available remote Consistency examination of linear inequality system
EN
An investigation of the consistency of a linear inequality system is considered. It is proven that the system of linear inequalities Ax≥b is consistent if and only if for any generalized inverse A− of a matrix A the system of equations (I−AA−)v=−(I−AA−)b has a nonnegative solution for the vector v. Consistency of the above system does not depend on the choice of the matrix A−. The paper also presents methods for investigating the existence of nonnegative solutions of systems of linear equations.
EN
In this paper, the problem of ICGLS (Inequality Constrained Generalized Least Squares) estimation of a given set function K in the weakly singular model M={y, X| A > b, ^2V} is considered. The ICGLS estimator is not linear and it is expressed in a form of at most of 2^m formulae, where m denotes a number of rows in the matrix A. For a given vector y the one of these formulae can be used. On the basis of the Kuhn-Tucker optimality conditions, necessary and sufficient conditions for a vector Kβ^t to be the ICGLS estimator of Kβ are presented. The estimators are given in explicit form.
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