Results 21 to 30 of about 989,620 (282)
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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Algorithms for Highly Symmetric Linear and Integer Programs [PDF]
, 2011 This paper deals with exploiting symmetry for solving linear and integer programming problems. Basic properties of linear representations of finite groups can be used to reduce symmetric linear programming to solving linear programs of lower dimension ...
E.J. Friedman +12 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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Explicit linear kernels via dynamic programming [PDF]
, 2014 Several algorithmic meta-theorems on kernelization have appeared in the last years, starting with the result of Bodlaender et al. [FOCS 2009] on graphs of bounded genus, then generalized by Fomin et al.
Garnero, Valentin +3 more
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Mixed logical-linear programming
Discrete Applied Mathematics, 1999 Mixed logical/linear programming (MLLP) is an extension of mixed integer/linear programming (MILP). It can represent the discrete elements of a problem with logical propositions and provides a more natural modeling framework than MILP. It can also have computational advantages, partly because it eliminates integer variables when they serve no purpose ...
Hooker, J.N., Osorio, M.A.
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Linear Superiorization for Infeasible Linear Programming
, 2016 Linear superiorization (abbreviated: LinSup) considers linear programming (LP) problems wherein the constraints as well as the objective function are linear.
A Cegielski +11 more
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0-1 Integer Linear Programming with a Linear Number of Constraints [PDF]
, 2014 We give an exact algorithm for the 0-1 Integer Linear Programming problem with a linear number of constraints that improves over exhaustive search by an exponential factor.
Impagliazzo, Russell +3 more
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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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