Results 241 to 250 of about 798,458 (265)

On Linear Inequalities

2013
Linear inequalities were studied with some degree of generality at least as early as the time of Fourier (1824). However the first significant contribution to their theory was made by Minkowski in his Geometrie der Zalzlen in 1896. Since that time many papers have appeared in Europe, America, and Japan which have to do more or less directly with the ...
Lloyd L. Dines, N. H. McCoy
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Solution of Linear Inequalities

IEEE Transactions on Computers, 1970
A method for solving systems of linear inequalities, consistent and inconsistent, corresponding to the separable and nonseparable cases in pattern recognition is presented. Attempts are made to evaluate the speed and efficiency of the algorithm.
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Linear Differential Inequalities

SIAM Journal on Mathematical Analysis, 1978
A notion of generalized zero with respect to a linear differential operator $L_n $ for a function f at a singular point of the operator was introduced by Levin and further considered by Willett. This involved a comparison of f with certain solutions of $L_n y = 0$ near the singular point. It is shown that the role of these solutions may be fulfilled by
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The Relaxation Method for Linear Inequalities

Canadian Journal of Mathematics, 1954
Let A be a closed set of points in the n-dimensional euclidean space En. If p and p1 are points of En such that1.1then p1 is said to be point-wise closer than p to the set A. If p is such that there is no point p1 which is point-wise closer than p to A, then p is called a closest point to the set A.
I. J. Schoenberg, T. S. Motzkin
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On stochastic linear inequalities

Trabajos de Estadistica, 1959
The author, in this unorthodox paper, discusses come actual problems of theory and methods of linear programming. He defines a compound matrix as a common property to all cases ofmatrix games: games theory. input-output analysis, theory of statistical decision and others; namely, mathematical programming.
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Linear Equations and Linear Inequalities

2002
While Chapter 1 reviews general structural aspects of real vector spaces, we now discuss fundamental computational techniques for linear systems in this chapter. For convenience of the discussion, we generally assume that the coefficients of the linear systems are real numbers.
Walter Kern, Ulrich Faigle, Georg Still
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Linear matrix inequalities

IEE Proceedings - Control Theory and Applications, 2003
Linear matrix inequalities (LMIs) have emerged as a powerful tool for numerically solving control problems that are difficult or impossible to solve analytically. The idea is to express a given problem as an optimisation problem with linear objective and semidefinite constraints, where the constraints involve symmetric matrices that are affine in the ...
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Linear Inequalities and Polyhedra

2014
The focus of this chapter is on the study of systems of linear inequalities Ax ≤ b. We look at this subject from two different angles. The first, more algebraic, addresses the issue of solvability of Ax ≤ b.
Michele Conforti, Gérard Cornuéjols, Giacomo Zambelli   +2 more
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LINEAR EQUATIONS AND INEQUALITIES

2017
As we have observed, the constraints of a meaningful linear program must include at least one linear inequality, but otherwise they may be composed of linear equations, linear inequalities, or some of each.
Richard W. Cottle, Mukund N. Thapa
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Surrogate methods for linear inequalities

Journal of Optimization Theory and Applications, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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