L-BFGS-B

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.


References in zbMATH (referenced in 133 articles )

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  1. Grabner, Markus; Pock, Thomas; Gross, Tobias; Kainz, Bernhard: Automatic differentiation for GPU-accelerated 2D/3D registration (2008)
  2. Kao, Chiu-Yen; Osher, Stanley; Qian, Jianliang: Legendre-transform-based fast sweeping methods for static Hamilton-Jacobi equations on triangulated meshes (2008)
  3. Leopardi, Paul Charles; Womersley, Robert S.: Porting a sphere optimization program from LAPACK to ScaLAPACK (2008)
  4. Ma, Lin; Klug, William S.: Viscous regularization and r-adaptive remeshing for finite element analysis of lipid membrane mechanics (2008)
  5. Morales, José Luis; Nocedal, Jorge; Smelyanskiy, Mikhail: An algorithm for the fast solution of symmetric linear complementarity problems (2008)
  6. Sandu, Adrian; Zhang, Lin: Discrete second order adjoints in atmospheric chemical transport modeling (2008)
  7. Tian, Guo-Liang; Tang, Man-Lai; Fang, Hong-Bin; Tan, Ming: Efficient methods for estimating constrained parameters with applications to regularized (lasso) logistic regression (2008)
  8. Xiao, Yunhai; Zhang, Hongchuan: Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization (2008)
  9. Herty, M.; Klar, A.; Singh, A. K.; Spellucci, P.: Smoothed penalty algorithms for optimization of nonlinear models (2007)
  10. Kanzow, Christian; Klug, Andreas: An interior-point affine-scaling trust-region method for semismooth equations with box constraints (2007)
  11. Varga, Dániel; Simon, Eszter: Hungarian named entity recognition with a maximum entropy approach (2007)
  12. Xiao, Yunhai; Wei, Zengxin: A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization (2007)
  13. Aanonsen, Sigurd Ivar; Eydinov, Dmitry: A multiscale method for distributed parameter estimation with application to reservoir history matching (2006)
  14. Fügenschuh, A.; Herty, M.; Klar, A.; Martin, A.: Combinatorial and continuous models for the optimization of traffic flows on networks (2006)
  15. Hager, William W.; Zhang, Hongchao: A new active set algorithm for box constrained optimization (2006)
  16. Hager, W. W.; Zhang, H.: Recent advances in bound constrained optimization (2006)
  17. Kanzow, Christian; Klug, Andreas: On affine-scaling interior-point Newton methods for nonlinear minimization with bound constraints (2006)
  18. Li, Xiantao; E, Weinan: Variational boundary conditions for molecular dynamics simulations of solids at low temperature. (2006)
  19. Zhang, Hongchao; Hager, William W.: PACBB: a projected adaptive cyclic Barzilai-Borwein method for box constrained optimization (2006)
  20. Fourestey, Gilles; Moubachir, Marwan: Solving inverse problems involving the Navier--Stokes equations discretized by a Lagrange--Galerkin method (2005)