Articles under review in scientific journals
- Proximal bundle methods for nonsmooth DC programming
- Target radius method for nonsmooth convex optimization
- On regularization with normal solutions in decomposition methods for multistage stochastic programming
- W. van Ackooij, W. de Oliveira and Y. Song
Articles published or accepted for publication in scientific journals
- An adaptive partition-based level decomposition for solving two-stage stochastic programs with fixe-recourse To appear in INFORMS Journal on Computing, 2017
- W. van Ackooij, W. de Oliveira and Y. Song
- Application of scenario tree reduction via quadratic process distances to medium-term hydrothermal scheduling problem To appear in IEEE Transactions on Power Systems, 2017
- F.B. Rodríguez, W. de Oliveira and E. Finardi
- Optimization techniques for the Brazilian natural gas network planning problem. Energy Systems (ENSY), 2017, Volume 8, Issue 1, pp. 81-101.
- V.B. Bruno, L.A.M. Moraes and W. de Oliveira
- Probabilistic optimization via approximate p-efficient points and bundle methods. Computers & Operations Research, 2017, V. 77, pp. 177-193.
- W. van Ackooij, V. Berge, W. de Oliveira and C. Sagastizábal
- Uncontrolled inexact information within bundle methods. EURO Journal on Computational Optimization, 2017, V. 5, pp. 5-29.
- J. Malick, W. de Oliveira, S. Zaourar
- Inexact stabilized Benders' decomposition approaches with application to chance-constrained problems with finite support. Computational Optimization and Applications, 2016, Volume 65, Issue 3, pp. 637-669
- W. van Ackooij, A. Frangioni, W. de Oliveira
- Convexity and optimization with copulae structured probability constraints Optimization, 2016, Volume 65, Issue 7, pp. 1349-1376.
- W. van Ackooij and W. de Oliveira.
- Regularized optimization methods for convex MINLP problems. TOP (Operations Research & Decision Theory), 2016, V. 24, Issue 3, pp. 665-692
- On weak and strong convergence of the projected gradient method for convex optimization in real Hilbert spaces. Numerical Functional Analysis and Optimization, 2016, Volume 37, 2, pp. 129-144.
- J.Y. Bello Cruz and W. de Oliveira
- A doubly stabilized bundle method for nonsmooth convex optimization. Mathematical Programming, 2016, Volume 156, Issue 1, pp 125-159.
- W. de Oliveira and M. Solodov
- A strongly convergent proximal bundle method for convex minimization in Hilbert spaces. Optimization, 2016, Volume 65, Issue 1, pp. 145-167.
- W. van Ackooij, J.Y. Bello Cruz, W. de Oliveira
- Convex proximal bundle methods in depth: a unified analysis for inexact oracles. Mathematical Programming, 2014, V. 148, Issue 1-2, pp 241-277
- W. de Oliveira, C Sagastizábal and C. Lemaréchal
- Bundle methods in the XXIst century: a birds'-eye view. Pesquisa Operacional, 2014, Volume 34 Issue 3, pp 647-670
- W. de Oliveira, C. Sagastizábal
- Level bundle methods for oracles with on-demand accuracy. Optimization Methods & Software, 2014, Volume 29, Issue 6, pp 1180-1209
- W. de Oliveira, C. Sagastizábal
- Level bundle methods for constrained convex optimization with various oracles. Computational Optimization and Applications, 2014, Volume 57, Issue 3, pp 555-597
- W. van Ackooij and W. de Oliveira
- Level bundle-like algorithms for convex optimization. Journal of Global Optimization, August 2014, Volume 59, Issue 4, pp 787-809.
- J. Y. Bello Cruz and W. de Oliveira
- Inexact bundle methods for two-stage stochastic programming. SIAM Journal on Optimization, v. 21, p. 517-544, 2011.
- W. de Oliveira, C. Sagastizábal, and S. Scheimberg
- Optimal scenario tree reduction for stochastic streamflows in power generation planning problems. Optimization Methods & Software, 2010, V 25 pp. 917-936
- W. de Oliveira, C. Sagastizábal, et al.
Articles published in annals of events
- Combining level and proximal bundle methods for convex optimization in energy problems. EngOpt - International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 2012.
- Optimal scenario tree reduction for stochastic streamflows in power generation planning problems. EngOpt - International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 2008.
- W. de Oliveira, C. Sagastizábal, et al.
- Validation of streamflow scenarios for scheduling in the Brazilian hydro thermal electric generation system. Hydropredict - International Conference on Predictions for Hydrology, Ecology and Water resources Management. pp. 345-348. Prague, Czech Republic, 2008.
- J.M. Damázio, M.E.P. Maceira, D.D.J. Penna and W. de Oliveira
- Compatibilidade entre cenários sintéticos de vazões e energias utilizados no planejamento da operação de curto e médio prazos. XX SNPTEE - Seminário nacional de produção e transmissão de energia, Recife, Brasil, 2009.
- M.E.P. Maceira, J.M Damázio, W. de Oliveira and D.D.J. Penna
- Análise da correlação cruzada através da distribuição lognormal três parâmetros. XVII ABRH - Simpósio brasileiro de recursos hídricos, Campo Grande, Brasil, 2009.
- W. de Oliveira, D.D.J. Penna J.M. Damázio and M.E.P. Maceira
- Redução ótima de cenários de vazões afluentes aos reservatórios. XVII ABRH - Simpósio brasileiro de recursos hídricos, São Paulo, Brasil, 2007.
- W. de Oliveira, C. Sagastizábal, D.D.J. Penna, J.M. Damázio and M.E.P. Maceira
- Técnicas de redução de cenários de vazões aplicadas ao planejamento da operação de curto prazo. XIX SNPTEE - Seminário nacional de produção e trasnmissão de energia, Rio de Janeiro, Brasil, 2007.
- W. de Oliveira, C. Sagastizábal, D.D.J. Penna, J.M. Damázio and M.E.P. Maceira.
Dissertations and Technical Reports
- Inexact Bundle Methods Applied to Stochastic Programming. (In portuguese). Ph.D Thesis - Universidade Federal do Rio de Janeiro, 2011
- Optimal Scenario Reduction in Stochastic Programming. Application to Streamflows in Power Generation Planning Problems. (In portuguese). Dissertation (Mater's in Mathematics) - Instituto Nacional de Matemática Pura e Aplicada. Série B-16-Agosto/2007.
- A bundle method for exploiting additive structure in difficult optimization problems. Technical Report - Optimization Online, 2015
- W. de Oliveira and J. Eckestein
|
|