Results 1 to 10 of about 104,878 (264)
Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways. [PDF]
PLoS ONE, 2012 Modeling of signal transduction pathways plays a major role in understanding cells' function and predicting cellular response. Mathematical formalisms based on a logic formalism are relatively simple but can describe how signals propagate from one ...
Alexander Mitsos +5 more
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Automatic design of synthetic gene circuits through mixed integer non-linear programming. [PDF]
PLoS ONE, 2012 Automatic design of synthetic gene circuits poses a significant challenge to synthetic biology, primarily due to the complexity of biological systems, and the lack of rigorous optimization methods that can cope with the combinatorial explosion as the ...
Linh Huynh +3 more
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Solving Non-linear Neutrosophic Linear Programming Problems [PDF]
Neutrosophic Sets and Systems, 2023 Non-linear neutrosophic numbers (NLNNs) are different kinds of neutrosophic numbers with at least one non-linear membership function (either of truthiness, falsity or indeterminacy part) of the information.
Kailash Lachhwani
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LNL-FPC: The Linear/Non-linear Fixpoint Calculus [PDF]
Logical Methods in Computer Science, 2021 We describe a type system with mixed linear and non-linear recursive types called LNL-FPC (the linear/non-linear fixpoint calculus). The type system supports linear typing, which enhances the safety properties of programs, but also supports non-linear ...
Bert Lindenhovius +2 more
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The future of feed formulation for poultry: Toward more sustainable production of meat and eggs
Animal Nutrition, 2023 Current methods for feed formulation are based on minimizing costs, not maximizing profits. Complex models of bird growth and reproduction as functions of genetic, feed and other environmental variables are being developed, but their adaptation has been ...
Gene M. Pesti, Mingan Choct
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Linear and non-linear optimization models for the selection of investment portfolio
Lietuvos Matematikos Rinkinys, 2021 This research suggests a maxmin model for the selection of investment portfolios. The risk evaluation coefficients are introduced. The components of portfolio are found by solving linear programming task in onemodel and non-linear programming task in the
Sigutė Vakrinienė +1 more
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Multi-Objective Non-Linear Programming Problems in Linear Diophantine Fuzzy Environment
Axioms, 2023 Due to various unpredictable factors, a decision maker frequently experiences uncertainty and hesitation when dealing with real-world practical optimization problems.
Salma Iqbal +2 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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Ural Mathematical Journal, 2020 Any simple perturbation in a part of the game whether in the cost function and/or conditions is a big problem because it will require a game re-solution to obtain the perturbed optimal solution.
Yousria A. Aboelnaga, Mai Zidan
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A Nonlinear Programming Model to Solve Matrix Games with Pay-offs of Single-valued Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2022 Single-valued neutrosophic number (SVNN) is an appropriate extension of the ordinary fuzzy number. The key feature of the SVNN is that it can capture indeterminacy in the imprecise information.
Mijanur Rahaman Seikh, Shibaji Dutta
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