Global convergence of a class of trust region algorithms for optimization with simple bounds
SIAM Journal on Numerical Analysis
CUTE: constrained and unconstrained testing environment
ACM Transactions on Mathematical Software (TOMS)
Mathematical Programming: Series A and B
A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
Trust-region methods
Algorithm 813: SPG—Software for Convex-Constrained Optimization
ACM Transactions on Mathematical Software (TOMS)
Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)
Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)
Nonmonotone Spectral Projected Gradient Methods on Convex Sets
SIAM Journal on Optimization
Large-Scale Active-Set Box-Constrained Optimization Method with Spectral Projected Gradients
Computational Optimization and Applications
GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization
ACM Transactions on Mathematical Software (TOMS)
CUTEr and SifDec: A constrained and unconstrained testing environment, revisited
ACM Transactions on Mathematical Software (TOMS)
Mathematical Programming: Series A and B
Linux Device Drivers, 3rd Edition
Linux Device Drivers, 3rd Edition
A New Active Set Algorithm for Box Constrained Optimization
SIAM Journal on Optimization
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
Mathematical Programming: Series A and B
On Augmented Lagrangian Methods with General Lower-Level Constraints
SIAM Journal on Optimization
Benchmarking Derivative-Free Optimization Algorithms
SIAM Journal on Optimization
ACM Transactions on Mathematical Software (TOMS)
An active set feasible method for large-scale minimization problems with bound constraints
Computational Optimization and Applications
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Bound-constrained minimization is a subject of active research. To assess the performance of existent solvers, numerical evaluations and comparisons are carried on. Arbitrary decisions that may have a crucial effect on the conclusions of numerical experiments are highlighted in the present work. As a result, a detailed evaluation based on performance profiles is applied to the comparison of bound-constrained minimization solvers. Extensive numerical results are presented and analyzed.