Results 231 to 240 of about 258,933 (272)
An integrated TOPSIS and ARAS method multi-criteria decision-making approach for optimizing investment portfolios using goal programming and genetic algorithm model. [PDF]
Sci RepPisal P +6 more
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Research on agricultural development issues based on comprehensive optimization strategy. [PDF]
Sci RepDayou H +5 more
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Solving nonlinear and complex optimal control problems via multi-task artificial neural networks. [PDF]
Sci RepKerdabadi AE, Malek A.
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A discrete numerical method for brittle rocks using mathematical programming
Acta Geotechnica, 2017A computational formulation of discrete simulations of damage and failure in brittle rocks using mathematical programming methods is proposed. The variational formulations are developed in two and three dimensions. These formulations naturally lead to second-order cone programs and can conveniently be solved using off-the-shelf mathematical programming
Meng, J., Huang, J., Yao, C., Sheng, D.
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Informatization and communication, 2020
The problems of analysis and planning of diversified production, including the lack of effective methods for search, systematization and primary processing of initial data for mathematical programming methods used in the process of its optimization are considered. Methodology IDEF0 is proposed as a data collection system.
I.I. Kovtun, G.S. Romanenko
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The problems of analysis and planning of diversified production, including the lack of effective methods for search, systematization and primary processing of initial data for mathematical programming methods used in the process of its optimization are considered. Methodology IDEF0 is proposed as a data collection system.
I.I. Kovtun, G.S. Romanenko
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Numerical study of some feasible direction methods in mathematical programming
Journal of Optimization Theory and Applications, 1983Some feasible direction methods for the minimization of a linearly constrained convex function are studied. Special emphasis is placed on the analysis of the procedures which find the search direction, by developing active set methods which use orthogonal or Gauss-Jordan-like transformations.
Arioli M., Laratta A., Menchi O.
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Mathematical Programming, 2011
The authors deal with convergence properties of five relaxation methods for solving mathematical programs with equilibrium constraints (MPECs). Several existed convergence results are improved and some new results regarding the satisfaction of standard constraint qualifications for the relaxed problems are obtained.
Hoheisel, Tim +2 more
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The authors deal with convergence properties of five relaxation methods for solving mathematical programs with equilibrium constraints (MPECs). Several existed convergence results are improved and some new results regarding the satisfaction of standard constraint qualifications for the relaxed problems are obtained.
Hoheisel, Tim +2 more
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Russian Mathematics, 2007
An immersion method for the numerical solution of convex programming problems is presented applying inverse problems in mathematical programming. It is shown that the Heward method of centers [\textit{V.P. Bulatov}, in: Methods of numerical analysis and optimization, Work Collect., Novosibirsk 1987, 133--157 (1987; Zbl 0633.90062)] is enclosed in the ...
Bulatov, V. P., Belykh, T. I.
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An immersion method for the numerical solution of convex programming problems is presented applying inverse problems in mathematical programming. It is shown that the Heward method of centers [\textit{V.P. Bulatov}, in: Methods of numerical analysis and optimization, Work Collect., Novosibirsk 1987, 133--157 (1987; Zbl 0633.90062)] is enclosed in the ...
Bulatov, V. P., Belykh, T. I.
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