Algorithm 778: L-BFGS-B Fortran subroutines for large-scale bound-constrained optimization L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds on the variables. It is intended for problems in which information on the Hessian matrix is difficult to obtain, or for large dense problems. L-BFGS-B can also be used for unconstrained problems and in this case performs similarly to its predecessor, algorithm L-BFGS (Harwell routine VA15). The algorithm is implemened in Fortran 77. (Source:

References in zbMATH (referenced in 342 articles , 1 standard article )

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  1. Osman, Muhtarjan; Ghosh, Sujit K.: Nonparametric regression models for right-censored data using Bernstein polynomials (2012)
  2. Pewsey, Arthur; Gómez, Héctor W.; Bolfarine, Heleno: Likelihood-based inference for power distributions (2012)
  3. Qiu, Huining; Chen, Xiaoming; Liu, Wanquan; Zhou, Guanglu; Wang, Yiju; Lai, Jianhuang: A fast (\ell_1)-solver and its applications to robust face recognition (2012)
  4. Sun, Wei: A statistical framework for eQTL mapping using RNA-seq data (2012)
  5. Usuga, Olga Cecilia; Hernández, Freddy: Bayesian analysis for errors in variables with changepoint models (2012)
  6. Venegas, Osvaldo; Rodríguez, Francisco; Gómez, Héctor W.; Olivares-Pacheco, Juan F.; Bolfarine, Heleno: Robust modeling using the generalized epsilon-skew-(t) distribution (2012)
  7. Vercher, E.; Corberán-Vallet, A.; Segura, J. V.; Bermúdez, J. D.: Initial conditions estimation for improving forecast accuracy in exponential smoothing (2012)
  8. Benešová, Barbora: Global optimization numerical strategies for rate-independent processes (2011)
  9. Castillo, Nabor O.; Gómez, Héctor W.; Leiva, Víctor; Sanhueza, Antonio: On the Fernández-Steel distribution: inference and application (2011)
  10. Dakovic, Rada; Czado, Claudia: Comparing point and interval estimates in the bivariate (t)-copula model with application to financial data (2011)
  11. Egidi, N.; Maponi, P.: Residual correction techniques for the efficient solution of inverse scattering problems (2011)
  12. Evangelou, Evangelos; Zhu, Zhengyuan; Smith, Richard L.: Estimation and prediction for spatial generalized linear mixed models using high order Laplace approximation (2011)
  13. Goenezen, Sevan; Barbone, Paul; Oberai, Assad A.: Solution of the nonlinear elasticity imaging inverse problem: the incompressible case (2011)
  14. Gratton, Serge; Mouffe, Mélodie; Toint, Philippe L.: Stopping rules and backward error analysis for bound-constrained optimization (2011)
  15. Gürler, Ülkü; Yenigün, C. Deniz: Full and conditional likelihood approaches for hazard change-point estimation with truncated and censored data (2011)
  16. Latouche, Pierre; Birmelé, Etienne; Ambroise, Christophe: Overlapping stochastic block models with application to the French political blogosphere (2011)
  17. Martínez-Rodríguez, Ana M.; Sáez-Castillo, Antonio José; Conde-Sánchez, Antonio: Modelling using an extended Yule distribution (2011)
  18. Métivier, Ludovic: Interlocked optimization and fast gradient algorithm for a seismic inverse problem (2011)
  19. Piacentini, M.; Rinaldi, F.: Path loss prediction in urban environment using learning machines and dimensionality reduction techniques (2011)
  20. Qian, Dong; Phadke, Manas; Karpov, Eduard; Liu, Wing Kam: A domain-reduction approach to bridging-scale simulation of one-dimensional nanostructures (2011)

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