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 293 articles , 1 standard article )

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  1. Xiao, Yunhai; Zhang, Hongchuan: Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization (2008)
  2. Xie, Y.; Yu, J.; Ranneby, B.: A general autoregressive model with Markov switching: estimation and consistency (2008)
  3. Abramov, Rafail V.: An improved algorithm for the multidimensional moment-constrained maximum entropy problem (2007)
  4. Herty, M.; Klar, A.; Singh, A. K.: An ODE traffic network model (2007)
  5. Herty, M.; Klar, A.; Singh, A. K.; Spellucci, P.: Smoothed penalty algorithms for optimization of nonlinear models (2007)
  6. Kanzow, Christian; Klug, Andreas: An interior-point affine-scaling trust-region method for semismooth equations with box constraints (2007)
  7. Pan, Shaohua; Chen, Jein-Shan: Two unconstrained optimization approaches for the Euclidean (\kappa)-centrum location problem (2007)
  8. Aanonsen, Sigurd Ivar; Eydinov, Dmitry: A multiscale method for distributed parameter estimation with application to reservoir history matching (2006)
  9. Abramov, Rafail: A practical computational framework for the multidimensional moment-constrained maximum entropy principle (2006)
  10. Kanzow, Christian; Klug, Andreas: On affine-scaling interior-point Newton methods for nonlinear minimization with bound constraints (2006)
  11. Li, Jian-Yu; Pan, Shao-Hua; Li, Xing-Si: Nonsmooth model for plastic limit analysis and its smoothing algorithm (2006)
  12. Richardson, Matthew; Domingos, Pedro: Markov logic networks (2006) ioport
  13. Fourestey, Gilles; Moubachir, Marwan: Solving inverse problems involving the Navier--Stokes equations discretized by a Lagrange--Galerkin method (2005)
  14. Iacus, Stefano M.; La Torre, Davide: A comparative simulation study on the IFS distribution function estimator (2005)
  15. Kessler, Marc L.; McShan, Daniel L.; Epelman, Marina A.; Vineberg, Karen A.; Eisbruch, Avraham; Lawrence, Theodore S.; Fraass, Benedick A.: Costlets: A generalized approach to cost functions for automated optimization of IMRT treatment plans (2005)
  16. Sandu, Adrian; Daescu, Dacian N.; Carmichael, Gregory R.; Chai, Tianfeng: Adjoint sensitivity analysis of regional air quality models (2005)
  17. Zhou, Guanglu; Toh, Kim-Chuan; Sun, Jie: Efficient algorithms for the smallest enclosing ball problem (2005)
  18. Bolton, H. P. J.; Groenwold, A. A.; Snyman, J. A.: The application of a unified Bayesian stopping criterion in competing parallel algorithms for global optimization (2004)
  19. Fourestey, Gilles; Piperno, Serge: A second-order time-accurate ALE Lagrange-Galerkin method applied to wind engineering and control of bridge profiles (2004)
  20. Pralits, Jan O.; Hanifi, Ardeshir: Optimization of steady suction for disturbance control on infinite swept wings (2003)

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