A novel bound constrained optimization method for three-way chemical data analysis with application to fluorescence excitation-emission matrix spectroscopy

2020 ◽  
Vol 203 ◽  
pp. 104036
Author(s):  
Ke Wang ◽  
Jie Yu ◽  
Yiming Bi ◽  
Yuhan Li ◽  
Pingjie Huang ◽  
...  
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.


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