Results 1 to 10 of about 434 (110)
Applications of Mathematical Programming to Genetic Biocontrol [PDF]
SIAM Journal on Applied Mathematics, 2023 We review existing approaches to optimizing the deployment of genetic biocontrol technologies-tools used to prevent vector-borne diseases such as malaria and dengue-and formulate a mathematical program that enables the incorporation of crucial ecological and logistical details.
Valeri N. Vasquez, John M. Marshall
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A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty
Frontiers in Chemical Engineering, 2021 Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent advances of a risk-neutral mathematical framework ...
Can Li, Ignacio E. Grossmann
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Application of Fuzzy Linear Programming Model in Agricultural Economic Management
Journal of Mathematics, 2022 Fuzzy linear programming has a wide range of applications in agricultural economic management. In this paper, the mathematical model of fuzzy linear programming was studied in detail, and then under the restriction of elastic constraints, the f(ti) and g(
Yuping Wang
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Mathematical applications of inductive logic programming [PDF]
Machine Learning, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Colton S, Muggleton S
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Applications of reformulations in mathematical programming [PDF]
4OR, 2012 Mathematical programming is a technique that can be used to solve real-world optimization problems, where one wants to maximize, or minimize, an objective function subject to some constraints on the decision variables. The key features of mathematical programming are the creation of a model for describing the problem (the so called formulation), and ...
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Asian Journal for Mathematics Education, 2023 We presented a design-based study within the context of a four-session Scratch programming activity among 23 fourth-grade students in Hong Kong. Inspired by the computational thinking (CT) strategies and the 5E instructional model, we investigated ...
Xiaoxuan Fang +3 more
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Standards, 2022 Inverse least squares numerical optimization, 3D/4D interior optimization, and 3D/4D graphical optimization software and algorithm programming have been presented in a series of previous articles on the applications of the BCS theory of superconductivity
Francisco Casesnoves
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Fractal and Fractional, 2022 In this paper, the Fischer–Burmeister active-set trust-region (FBACTR) algorithm is introduced to solve the nonlinear bilevel programming problems. In FBACTR algorithm, a Karush–Kuhn–Tucker (KKT) condition is used with the Fischer–Burmeister function to ...
Bothina Elsobky, Gehan Ashry
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Estimation of Concentrations in Chemical Systems at Equilibrium Using Geometric Programming [PDF]
Journal of Chemical and Petroleum Engineering, 2017 Geometric programming is a mathematical technique, which has been developed for nonlinear optimization problems. This technique is based on the dual program with linear constraints.
Saeedeh Ketabi +2 more
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Optimizing lifetime of a wireless sensor network covering moving targets
SN Applied Sciences, 2022 Article Highlights Wireless sensor networks Their applications are common today, such as vehicle tracking or battlefield monitoring. A set of randomly placed sensors monitors targets moving in an area.
Déthié Dione +2 more
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