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Abraham Charnes
Researcher at University of Texas at Austin
Publications - 222
Citations - 68762
Abraham Charnes is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Linear programming & Data envelopment analysis. The author has an hindex of 57, co-authored 222 publications receiving 63459 citations. Previous affiliations of Abraham Charnes include Carnegie Institution for Science & Northwestern University.
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Demon: Decision Mapping Via Optimum Go-No Networks—A Model for Marketing New Products
TL;DR: Although it is related to previous work in chance constrained programming, DEMON evidently also effects a further development and extension of these ideas by reference to the fact that here the statistical distributions are only partially known and the chance constraints are also expressed in terms of conditional distributions which in turn may be altered by the choices that are made.
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Fundamental theorems of nondominated solutions associated with cones in normed linear spaces
TL;DR: In this paper, the essential properties of multiobjective programming in real normed linear spaces are studied and necessary and sufficient conditions for nondominated solutions under regularity and Frechet differentiability assumptions are developed.
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M.D. I. Estimation via Unconstrained Convex Programming.
TL;DR: A method is presented for obtaining minimum discrimination information estimates of probability distributions using an extremal principle of Charnes and Cooper (1974) and, viewing M.D.I, estimation in a dual convex programming framework.
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An effective non-Archimedean anti-degeneracy/cycling linear programming method especially for data envelopment analysis and like models
TL;DR: A non-Archimedean effective anti-degeneracy/cycling method for linear programming models, especially Data Envelopment Analysis (DEA), processing networks and advertising media mix models is herein developed and has given a tenfold speed increase plus elimination of cycling difficulties over conventional Marsden or Kennington/Ali LP software modules in a 1000 LP DEA application.
Managerial Economics -- Past, Present and Future.
TL;DR: In this paper, the present state of managerial economics is portrayed against the backdrop of a still-continuing series of methodological developments which began to impact on the civilian management sector in the late 1950's.