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Recurrent neural networks with fixed time convergence for linear and quadratic programming
(Institute of Electrical and Electronics Engineers, 2013-08-04)
A mixed-integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation
(2013-01-21)
The problem of reconfiguration of distribution systems considering the presence of distributed generation is modeled as a mixed-integer linear programming (MILP) problem in this paper. The demands of the electric distribution ...
A mixed-integer LP model for the reconfiguration of radial electric distribution systems considering distributed generation
(2013-01-21)
The problem of reconfiguration of distribution systems considering the presence of distributed generation is modeled as a mixed-integer linear programming (MILP) problem in this paper. The demands of the electric distribution ...
Towards an intelligent graphical interface for linear programming modelling
(1996-12-01)
The increase of computing power of the microcomputers has stimulated the building of direct manipulation interfaces that allow graphical representation of Linear Programming (LP) models. This work discusses the components ...
Towards an intelligent graphical interface for linear programming modelling
(1996-12-01)
The increase of computing power of the microcomputers has stimulated the building of direct manipulation interfaces that allow graphical representation of Linear Programming (LP) models. This work discusses the components ...
Piecewise linear programming via interior points
(Pergamon-elsevier Science LtdOxfordInglaterra, 2000)
Conjunto simpléticos e otimização: métodos simplex e Nelder-Mead
(Universidade Tecnológica Federal do ParanáCuritibaBrasilLicenciatura em MatemáticaUTFPR, 2020-12-03)
It’s common to use numerical techniques for solving problems to minimize, or maximize mathematical functions. Basead on this, the present work makes an explantion of two simpletical methods of derivate free optimization. ...
Joint dynamic probabilistic constraints with projected linear decision rules
(EMAp - Escola de Matemática Aplicada, 2016)
We consider multistage stochastic linear optimization problems combining joint dynamic probabilistic constraints with hard constraints. We develop a method for projecting decision rules onto hard constraints of wait-and-see ...