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 162 articles )

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  1. Boussaa, Djaffar: Optimization of temperature-dependent functionally graded material bodies (2009)
  2. Kim, Hyun Keol; Hielscher, Andreas H.: A PDE-constrained SQP algorithm for optical tomography based on the frequency-domain equation of radiative transfer (2009)
  3. Lukšan, Ladislav; Matonoha, Ctirad; Vlček, Jan: Algorithm 896: LSA: algorithms for large-scale optimization (2009)
  4. Raoul Grasman; Han van der Maas; Eric-Jan Wagenmakers: Fitting the Cusp Catastrophe in R: A cusp Package Primer (2009) not zbMATH
  5. Tseng, Paul; Yun, Sangwoon: A coordinate gradient descent method for nonsmooth separable minimization (2009)
  6. Birgin, E. G.; Martínez, J. M.: Structured minimal-memory inexact quasi-Newton method and secant preconditioners for augmented Lagrangian optimization (2008)
  7. Carmichael, Gregory R.; Sandu, Adrian; Chai, Tianfeng; Daescu, Dacian N.; Constantinescu, Emil M.; Tang, Youhua: Predicting air quality: Improvements through advanced methods to integrate models and measurements (2008)
  8. Eydinov, Dmitry; Aanonsen, Sigurd Ivar; Haukås, Jarle; Aavatsmark, Ivar: A method for automatic history matching of a compositional reservoir simulator with multipoint flux approximation (2008)
  9. Grabner, Markus; Pock, Thomas; Gross, Tobias; Kainz, Bernhard: Automatic differentiation for GPU-accelerated 2D/3D registration (2008)
  10. Kao, Chiu-Yen; Osher, Stanley; Qian, Jianliang: Legendre-transform-based fast sweeping methods for static Hamilton-Jacobi equations on triangulated meshes (2008)
  11. Leopardi, Paul Charles; Womersley, Robert S.: Porting a sphere optimization program from LAPACK to ScaLAPACK (2008)
  12. Ma, Lin; Klug, William S.: Viscous regularization and r-adaptive remeshing for finite element analysis of lipid membrane mechanics (2008)
  13. Morales, José Luis; Nocedal, Jorge; Smelyanskiy, Mikhail: An algorithm for the fast solution of symmetric linear complementarity problems (2008)
  14. Sandu, Adrian; Zhang, Lin: Discrete second order adjoints in atmospheric chemical transport modeling (2008)
  15. 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)
  16. Xiao, Yunhai; Zhang, Hongchuan: Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization (2008)
  17. Herty, M.; Klar, A.; Singh, A. K.; Spellucci, P.: Smoothed penalty algorithms for optimization of nonlinear models (2007)
  18. Kanzow, Christian; Klug, Andreas: An interior-point affine-scaling trust-region method for semismooth equations with box constraints (2007)
  19. Varga, Dániel; Simon, Eszter: Hungarian named entity recognition with a maximum entropy approach (2007)
  20. Xiao, Yunhai; Wei, Zengxin: A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization (2007)