[1]
M.J.D. Powell. A new algorithm for unconstrained optimization, in:J.B. Rosen, O.L. Mangasarian, K. Ritter, eds. Nonlinear Programming, New York Academic Press, (1970).
Google Scholar
[2]
J. Nocedal and Y. Yuan. Combining trust region and line search. In: Yuan Y, eds. Advances in Nonliner Programming. Dordrecht: Kluwer, 1998, 153-175.
DOI: 10.1007/978-1-4613-3335-7_7
Google Scholar
[3]
A. Sartenaer. Automatic determination of an initial trust region in nonlinear programming. SIAM Journal on Scientific Computing 1997, 18(6), 1788-1803.
DOI: 10.1137/s1064827595286955
Google Scholar
[4]
J.Y. Fan and Y.X. Yuan. A new trust region algorithm with trust region radius converging to zero. Proceeding of the 5th International Conference on Optimization. Techniques and Application, HongKong, 2001, 786-794.
Google Scholar
[5]
X.S. Zhang, Z.W. Chen and J.L. Zhang. A self-adaptive trust region method for unconstrained optimization, OR Transactions, 2001, 5: 53-62.
Google Scholar
[6]
X.S. Zhang, Z.W. Chen and L.Z. Liao. An adaptive trust region method and its convergence. Science in China (Series A), 2002, 45(5): 620-631.
Google Scholar
[7]
L. Hei. A self-adaptive trust region algorithm. J. Computer. Math, 2003, 21(2): 229-236.
Google Scholar
[8]
G.D. Li. A Trust Region Method with Automatic Determination of the Trust Region Radius (in Chinese). Chinese Journal of Engineering Mathematics, 2006, 23(5): 843-848.
Google Scholar
[9]
Y.R. Zhang. A new type of trust region method. A Dissertation for the Degree of M. Science, 2012. (in Chinese).
Google Scholar
[10]
J.J. Moré and D.C. Sorensen. Computing a trust region step, SIAM Journal on Scientific and Statistical Computing 4, 1983, 553-162.
DOI: 10.1137/0904038
Google Scholar
[11]
P. P. Zhou, Q.H. Zhou and Y. Yang. A hybrid algorithm of two kinds of trust regions. The proceeding of the 11th International Symposium on Operations Research and its Applications, 2013, 150-153.
Google Scholar