W. C. Davidon, Conic approximation and collinear scaling for optimizers, SIAM J.Number. Anal., 17 (1980), 268-281.doi: 10.1137/0717023.
S. Di and W. Y. Sun, A trust region Method for conic model to solve unconstrained optimization, Optimization Methods and Software, 6 (1996), 237-263.doi: 10.1080/10556789608805637.
S. D. Jiang, "A Quasi-Newton Trust Region Method with a New Conic Model for the Unconstrained Optimization," S. M thesis, Nanjing University of Aeronautics and Astronautics in Nanjing (in Chinese), 2005.
X. P. Lu and Q. Ni, A quasi-Newton trust region method with a new conic model for the unconstrained optimization, Applied Mathematics and Computation, 204 (2008), 373-384.doi: 10.1016/j.amc.2008.06.062.
J. J. More, B. S. Garbow and K. E. Hillstrom, Testing unconstrained optimization software, ACM Trans. Math. Software, 7 (1981), 17-41.doi: 10.1145/355934.355936.
Q. Ni, Optimality conditions for trust-region subproblems involving a conic model, SIAM J. Optimization, 15 (2005), 826-837.doi: 10.1137/S1052623402418991.
M. J. D. Powell, Convergence properties of a class of minimization algorithms, in "Nonlinear Programming 2" (eds. O. L. Mangasarian, R. R. Meyer and S. M. Robinson), Academic Press, New York, (1974), 1-27.
M. J. D. Powell and Y. X. Yuan, A trust region algorithm for equality constrained optimization, Math. Program., 49 (1991), 189-211.doi: 10.1007/BF01588787.
Y. X. Yuan, A review of trust region algorithms for optimization, in "ICIAM99: Proceedings of the Fourth International Congress on Industrial and Applied Mathematics" (eds. J. M. Ball and J. C. R. Hunt), Oxford University Press, Oxford UK, (2000), 271-282.