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Complexity of linear programming
Operations Research Letters, 1982 The complexity of linear programming is discussed in the "integer" and "real number" models of computation. Even though the integer model is widely used in theoretical computer science, the real number model is more useful for estimating an algorithm's running time in actual computation.
Traub, Joseph F., Wozniakowski, Henryk
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Linear, integer separable and fuzzy programming problems: a united approach towards automatic reformulation [PDF]
, 1986 For mathematical programming (MP) to have greater impact as a decision tool, MP software systems must offer suitable support in terms of model communication and modelling techniques.
Mitra, G +3 more
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On Linear and Quadratic Two-Stage Transportation Problem
Кібернетика та комп'ютерні технології, 2020 Introduction. When formulating the classical two-stage transportation problem, it is assumed that the product is transported from suppliers to consumers through intermediate points.
Petro Stetsyuk +2 more
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Solving large scale linear programming [PDF]
, 1993 The interior point method (IPM) is now well established as a competitive technique for solving very large scale linear programming problems. The leading variant of the interior point method is the primal dual - predictor corrector algorithm due to ...
Levkovitz, R, Mitra, G, Hafsteinsson, H
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Forestist, 2005 In this study. linear and goal programming models were to shortly introduced, similarities and differences between structure of the models were to discussed.
Altay Uğur GÜL
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Adaptive Linear Classifier by Linear Programming
IEEE Transactions on Systems Science and Cybernetics, 1970 A linear classifier based on linear programming which is adaptive to a change in the set of input vectors is discussed. Different from other linear classifiers, this one maintains the maximum reliability of its operation, provided that the set of pattern vectors is linearly separable.
Ibaraki, Toshihide., Muroga, Saburo.
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Convergence analysis of an Inexact Infeasible Interior Point method for Semidefinite Programming [PDF]
, 2004 In this paper we present an extension to SDP of the well known infeasible Interior Point method for linear programming of Kojima,Megiddo and Mizuno (A primal-dual infeasible-interior-point algorithm for Linear Programming, Math. Progr., 1993).
Pieraccini, Sandra +2 more
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Team Teaching Load using Linear Programming
Journal of Computing Research and Innovation, 2019 Assignment of teaching loads refers to the allocation of teaching hours among academic staff. It will be the ideal way to assign the right courses to the right staff based on their expertise, preference and experience.
Syadatul Syaeda binti Mat Saleh +2 more
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The Bayes Linear Programming Language [B/D]
Journal of Statistical Software, 2000 Bayes linear methodology provides a quantitative structure for expressing our beliefs and systematic methods for revising these beliefs given observational data.
David Wooff, Michael Goldstein
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