LBFGS-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. (Source: http://plato.asu.edu)


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

Showing results 261 to 280 of 342.
Sorted by year (citations)

previous 1 2 3 ... 12 13 14 15 16 17 18 next

  1. Sun, Li; He, Guoping; Wang, Yongli; Zhou, Changyin: An accurate active set Newton algorithm for large scale bound constrained optimization. (2011)
  2. Xiao, Yun-Hai; Hu, Qing-Jie; Wei, Zengxin: Modified active set projected spectral gradient method for bound constrained optimization (2011)
  3. Yu, Guangxu; Müller, Jens-Dominik; Jones, Dominic; Christakopoulos, Faidon: CAD-based shape optimisation using adjoint sensitivities (2011)
  4. Yu, Zhensheng; Sun, Jing; Qin, Yi: A multivariate spectral projected gradient method for bound constrained optimization (2011)
  5. Zhang, Ran; Czado, Claudia; Min, Aleksey: Efficient maximum likelihood estimation of copula based meta (t)-distributions (2011)
  6. Abellan, A.; Noetinger, B.: Optimizing subsurface field data acquisition using information theory (2010)
  7. Brooks, Rupert; Arbel, Tal: Generalizing inverse compositional and ESM image alignment (2010) ioport
  8. Chen, Chaohui; Wang, Yudou; Li, Gaoming; Reynolds, Albert C.: Closed-loop reservoir management on the Brugge test case (2010)
  9. Egidi, N.; Maponi, P.: An efficient method for the solution of the inverse scattering problem for penetrable obstacles (2010)
  10. Kyung, M.; Ghosh, S. K.: Maximum likelihood estimation for directional conditionally autoregressive models (2010)
  11. Pan, Shaohua; Chen, Jein-Shan: A proximal gradient descent method for the extended second-order cone linear complementarity problem (2010)
  12. Pytlak, R.; Tarnawski, T.: Preconditioned conjugate gradient algorithms for nonconvex problems with box constraints (2010)
  13. Raftery, Adrian E.; Bao, Le: Estimating and projecting trends in HIV/AIDS generalized epidemics using incremental mixture importance sampling (2010)
  14. Rosolen, Adrian; Millán, Daniel; Arroyo, Marino: On the optimum support size in meshfree methods: a variational adaptivity approach with maximum-entropy approximants (2010)
  15. Rumpfkeil, Markus P.; Zingg, David W.: The optimal control of unsteady flows with a discrete adjoint method (2010)
  16. Rumpfkeil, Markus P.; Zingg, David W.: A hybrid algorithm for far-field noise minimization (2010)
  17. Sak, Halis; Hörmann, Wolfgang; Leydold, Josef: Efficient risk simulations for linear asset portfolios in the (t)-copula model (2010)
  18. Srinath, D. N.; Mittal, Sanjay: Optimal aerodynamic design of airfoils in unsteady viscous flows (2010)
  19. Srinath, D. N.; Mittal, Sanjay: An adjoint method for shape optimization in unsteady viscous flows (2010)
  20. Sun, Li; Fang, Liang; He, Guoping: An active set strategy based on the multiplier function or the gradient. (2010)

previous 1 2 3 ... 12 13 14 15 16 17 18 next