Results 131 to 140 of about 79,436 (168)
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Generalized linear complementarity problems
Mathematical Programming, 1990The generalization is twofold. First, the problem is defined for closed convex cones rather than for the non-negative orthant. Second, some, but not all, the results are stated for infinite-dimensional real Hilbert spaces. Two infinite-dimensional existence results are given.
M. Seetharama Gowda, Thomas I. Seidman
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Generalized Linear Complementarity Problems
Mathematics of Operations Research, 1995We introduce the concept of the generalized (monotone) linear complementarity problem (GLCP) in order to unify LP, convex QP, monotone LCP, and mixed monotone LCP. We establish the basic properties of GLCP and develop canonical forms for its representation. We show that the GLCP reduces to a monotone LCP in the same variables.
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On Linear and Linearized Generalized Semi-Infinite Optimization Problems
Annals of Operations Research, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan-J. Rückmann, Oliver Stein
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1978
In the two preceding chapters we have set forth, in some detail, the estimation of parameters and the properties of the resulting estimators in the context of the standard GLM. We recall that rather stringent assumptions were made relative to the error process and the explanatory variables.
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In the two preceding chapters we have set forth, in some detail, the estimation of parameters and the properties of the resulting estimators in the context of the standard GLM. We recall that rather stringent assumptions were made relative to the error process and the explanatory variables.
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Linear and Generalized Linear Mixed Models and Their Applications
Technometrics, 2008(2008). Linear and Generalized Linear Mixed Models and Their Applications. Technometrics: Vol. 50, No. 1, pp. 93-94.
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Generalized Linear Porokeratosis
Journal of Cutaneous Medicine and Surgery, 2022Yang Lu, Lin Feng
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An Introduction to Generalized Linear Models
2008Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis. Like its predecessor, this edition presents the
Dobson, Annette J, Barnett, Adrian G
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Random generation of linear codes
Aequationes mathematicae, 1999Being of interest in the framework of the classification of discrete structures, the author applies combinatorial and algebraic methods for generating \((n,k)\) linear codes distributed uniformly at random over all isometry classes of linear codes. The main theoretical tools are the \textit{Dixon-Wilf-algorithm} (originally developed for the random ...
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The Linear Generation of the Legendre Sequence
Journal of the Society for Industrial and Applied Mathematics, 1964Summary: Let \(p\) be a prime. We look for a linear recursion mod 2 which gives the values of the quadratic residue symbol mod \(p\). The author determines the linear recursion of least degree; it depends on the residue class of \(p\) modulo 8, and always has degree at least \(\tfrac12(p-1)\).
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The American Statistician, 1994