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Mathematical applications of inductive logic programming [PDF]
Machine Learning, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Simon Colton, Stephen Muggleton
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Applications of mathematical programming in graceful labeling of graphs [PDF]
Journal of Applied Mathematics, 2004 Graceful labeling is one of the best known labeling methods of graphs. Despite the large number of papers published on the subject of graph labeling, there are few particular techniques to be used by researchers to gracefully label graphs. In this paper,
Kourosh Eshghi, Parham Azimi
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APPLICATIONS OF MATHEMATICAL PROGRAMMING TO GENETIC BIOCONTROL. [PDF]
SIAM J Appl Math, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vásquez VN, Marshall JM.
europepmc +4 more sources
Review of Mathematical Programming Applications in Water Resource Management Under Uncertainty [PDF]
Environmental Modelling and Assessment, 2018 Economic development, variation in weather patterns and natural disasters focus attention on the management of water resources. This paper reviews the literature on the development of mathematical programming models for water resource management under ...
Thomas W. Archibald, Sarah Marshall
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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 ...
A. Costa
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Optimality Conditions in DC-Constrained Mathematical Programming Problems [PDF]
Journal of Optimization Theory and Applications, 2022 This paper provides necessary and sufficient optimality conditions for abstract-constrained mathematical programming problems in locally convex spaces under new qualification conditions.
R. Correa, M. López, Pedro P'erez-Aros
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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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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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