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1. RECONSTRUÇÃO 3D DE OSSOS A PARTIR DE IMAGENS DE RAIO-X.

Author

de Almeida, Paulo César Gomes, da Silva, Francisco Assis, Pazoti, Mário Augusto, Pereira, Danillo Roberto, and Artero, Almir Olivetto

Subjects
THREE-dimensional imaging, X-rays, ALGORITHMS, TIBIA, BONES, MATHEMATICAL models
Abstract

Copyright of Colloquium Exactarum is the property of Asociacao Prudentina de Educacao e Cultura (APEC) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2013
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3. Reactive power planning in electical systems using the Benders decomposition technique and Branch and Bound algorithm

Author

Mantovani, José R. S. [UNESP], Scucuglia, José W., Romero, Rubén [UNESP], Garcia, Ariovaldo V., Universidade Estadual Paulista (Unesp), UNIDERP, and Universidade Estadual de Campinas (UNICAMP)

Subjects
Electric power systems, Mathematical models, Sucessive Linear Programming, Linear programming, Reactive power, Integer programming, Benders Decomposition, Reactive Power Planning, Successive linear programming (SLP), Power Flow, Integer linear programming(ILP), Algorithms
Abstract

Submitted by Vitor Silverio Rodrigues (vitorsrodrigues@reitoria.unesp.br) on 2014-05-27T11:20:16Z No. of bitstreams: 0Bitstream added on 2014-05-27T14:44:56Z : No. of bitstreams: 1 2-s2.0-0035351710.pdf: 165318 bytes, checksum: 0b1c9142c6576ae2b8e73975d07fe6e3 (MD5) Made available in DSpace on 2014-05-27T11:20:16Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-05-01 This paper presents the Benders decomposition technique and Branch and Bound algorithm used in the reactive power planning in electric energy systems. The Benders decomposition separates the planning problem into two subproblems: an investment subproblem (master) and the operation subproblem (slave), which are solved alternately. The operation subproblem is solved using a successive linear programming (SLP) algorithm while the investment subproblem, which is an integer linear programming (ILP) problem with discrete variables, is resolved using a Branch and Bound algorithm especially developed to resolve this type of problem. FEIS UNESP Departamento de Engenharia Elétrica DCET UNIDERP Departamento de Engenharia Elétrica DSEE UNICAMP Departamento de Sistema de Energia Elétrica FEIS UNESP Departamento de Engenharia Elétrica

Published
2001