scholarly journals A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained Optimization

Author(s):  
Long Hei ◽  
Jorge Nocedal ◽  
Richard A. Waltz
Author(s):  
Morteza Kimiaei

AbstractThis paper discusses an active set trust-region algorithm for bound-constrained optimization problems. A sufficient descent condition is used as a computational measure to identify whether the function value is reduced or not. To get our complexity result, a critical measure is used which is computationally better than the other known critical measures. Under the positive definiteness of approximated Hessian matrices restricted to the subspace of non-active variables, it will be shown that unlimited zigzagging cannot occur. It is shown that our algorithm is competitive in comparison with the state-of-the-art solvers for solving an ill-conditioned bound-constrained least-squares problem.


2016 ◽  
Vol 172 (2) ◽  
pp. 369-401 ◽  
Author(s):  
Andrea Cristofari ◽  
Marianna De Santis ◽  
Stefano Lucidi ◽  
Francesco Rinaldi

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