Results 31 to 40 of about 129,081 (263)
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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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 complexity of linear programming
Theoretical Computer Science, 1980 AbstractThe complexity of linear programming and other problems in the geometry of d-dimensions is studied. A notion of LP-completeness is introduced, and a set of problems is shown to be (polynomially) equivalent to linear programming. Many of these problems involve computation of subsets of convex hulls of polytopes, and require O(n log n) operations
David P. Dobkin, Steven P. Reiss
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Land, 2022 Complex agricultural problems concern many countries, as a result of competing economic and environmental objectives. In this work we model three common agricultural problems through optimization techniques: a water-scarce area with overexploited surface
Jorge Andres Garcia, Angelos Alamanos
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Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
Journal of Applied Mathematics, 2013 In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality.
Haifang Cheng, Weilai Huang, Jianhu Cai
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Lexicographic Methods for Fuzzy Linear Programming
Mathematics, 2020 Fuzzy Linear Programming (FLP) has addressed the increasing complexity of real-world decision-making problems that arise in uncertain and ever-changing environments since its introduction in the 1970s.
Boris Pérez-Cañedo +3 more
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Majalah Ilmiah Matematika dan Statistika, 2022 Linear fractional programming is a special case of non-linear programming with an objective function consisting of the ratio of two linear functions. The problem can be solved using the Dinkelbach algorithm and the Charnes Cooper transformation.
Muhammad Wakhid Musthofa +1 more
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Linear Programming Complementation
Theoretical Computer ScienceIn this paper we introduce a new operation for Linear Programming (LP), called LP complementation, which resembles many properties of LP duality. Given a maximisation (resp.~minimisation) LP $P$, we define its complement $Q$ as a specific minimisation (resp.~maximisation) LP with the same objective function as $P$.
Maximilien Gadouleau +2 more
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Fuzzy linear mathematical programming in agriculture
Bibechana, 2015 In this paper we present a Fuzzy linear Mathematical programming approach for optimal allocation of land under cultivation. Fuzzy Mathematical programming approach is more realistic and flexible optimal solution for the agricultural land cultivation ...
MA Lone, MS Puktha, SA Mir
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Modified Method for Solving Fully Fuzzy Linear Programming Problem with Triangular Fuzzy Numbers [PDF]
International Journal of Research in Industrial Engineering, 2017 The Fuzzy Linear Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc.
S. K. Das
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