Publications

Articles under review in scientific journals

  1. Proximal bundle methods for nonsmooth DC programming 
    • W. de Oliveira 
  2. Target radius method for nonsmooth convex optimization 
    • W. de Oliveira 
  3. 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

  1. 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
  2. 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
  3. 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
  4. 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 
  5. Uncontrolled inexact information within bundle methods. EURO Journal on Computational Optimization, 2017, V. 5, pp. 5-29.
    • J. Malick, W. de Oliveira, S. Zaourar
  6. 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
  7. Convexity and optimization with copulae structured probability constraints Optimization, 2016, Volume 65, Issue 7, pp. 1349-1376.
    • W. van Ackooij and W. de Oliveira.
  8. Regularized optimization methods for convex MINLP problems. TOP (Operations Research & Decision Theory), 2016, V. 24, Issue 3, pp. 665-692
    • W. de Oliveira
  9. 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  
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  1. Combining level and proximal bundle methods for convex optimization in energy problems. EngOpt - International Conference on Engineering Optimization, Rio de Janeiro, Brazil, 2012. 
    • W. de Oliveira
  2. 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. 
  3. 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
  4. 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 
  5. 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
  6. 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
  7. 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
  1.  Inexact Bundle Methods Applied to Stochastic Programming. (In portuguese). Ph.D Thesis - Universidade Federal do Rio de Janeiro, 2011 
    • W. de Oliveira
  2. 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. 
    • W. de Oliveira
  3. A bundle method for exploiting additive structure in difficult optimization problems. Technical Report - Optimization Online, 2015
    • W. de Oliveira and J. Eckestein
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