COMBINATION ADAPTIVE TRUST REGION METHOD BY NON-MONOTONE STRATEGY FOR UNCONSTRAINED NONLINEAR PROGRAMMING
2011 ◽
Vol 28
(05)
◽
pp. 585-600
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Keyword(s):
In this paper, we present a new trust region method for unconstrained nonlinear programming in which we blend adaptive trust region algorithm by non-monotone strategy to propose a new non-monotone trust region algorithm with automatically adjusted radius. Both non-monotone strategy and adaptive technique can help us introduce a new algorithm that reduces the number of iterations and function evaluations. The new algorithm preserves the global convergence and has local superlinear and quadratic convergence under suitable conditions. Numerical experiments exhibit that the new trust region algorithm is very efficient and robust for unconstrained optimization problems.
2011 ◽
Vol 141
◽
pp. 92-97
2005 ◽
Vol 163
(1)
◽
pp. 489-504
◽
2011 ◽
Vol 52-54
◽
pp. 920-925
2011 ◽
Vol 18
(9)
◽
pp. 1303-1309
◽
2005 ◽
Vol 19
(1-2)
◽
pp. 165-177
◽
A New Nonmonotone Adaptive Retrospective Trust Region Method for Unconstrained Optimization Problems
2015 ◽
Vol 167
(2)
◽
pp. 676-692
◽
2009 ◽
Vol 232
(2)
◽
pp. 318-326
◽