Results 1 to 10 of about 457,600 (272)
APPLICATIONS OF MATHEMATICAL PROGRAMMING TO GENETIC BIOCONTROL. [PDF]
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Vásquez VN, Marshall JM.
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Mathematical applications of inductive logic programming [PDF]
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Colton S, Muggleton S
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Applications of mathematical programming in graceful labeling of graphs [PDF]
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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A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty
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
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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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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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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Estimation of Concentrations in Chemical Systems at Equilibrium Using Geometric Programming [PDF]
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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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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Optimizing lifetime of a wireless sensor network covering moving targets
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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