Akbari, Z., Yousefpour, R., & Peyghami, M. R. (2015). A new nonsmooth trust region algorithm for locally Lipschitz unconstrained optimization problems. Journal of optimization theory and applications, 164, 733-754.
Akbari, Z., Yousefpour, R., & Peyghami, M. R. (2019). A new nonsmooth trust-region method equipped with a line search for minimizing locally Lipschitz functions. Pacific journal of optimization, 14 (4), 551-565.
Ataee Tarzanagh, D., Peyghami, M. R., & Mesgarani, H. (2014). A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius. Optimization methods and software, 29(4), 819-836.
Bagirov, A., Jin, L., & Karmitsa, N. (2013). Subgradientmethod for nonconvex nonsmooth optimization. Journal of optimization theory and applications, 157, 416–435.
Bagirov, A., Karmitsa, N., & M kel , M. M. (2014). Introduction to nonsmooth optimization: theory, practice and software. Berlin, Springer.
Conn, A.R., Gould, N.I.M., & Toint, P.L. (2000). Trust region methods. Philadelphia, SIAM.
Davidon, W.C. (1980). Conic approximation and collinear scaling for optimizers. SIAM journal on numerical analysis, 17, 281-268.
Di, S., & Sun, W. (1996). Trust region method for conic model to solve unconstrained optimization problems. Optimization methods and software, 6, 237-263.
Fletcher, R., Leyffer, S., & Toint, P. L. (2006). A brief history of filter methods. Preprint ANL/MCS-P1372-0906, argonne national laboratory, mathematics and computer science division, 36.
Grippo, L., Lampariello, F., & Lucidi, S. (1986). A nonmonotone line search technique for newton's method. SIAM journal on numerical analysis, 23(4), 707-716.
Haarala, N., Miettinen, K., & M kel , M. M. (2007). Globally convergent limited memory bundle method for large-scale nonsmooth optimization. Mathematical programming, 109, 181–205.
Hei, L. (2003). A self-adaptive trust region algorithm. Journal of computational mathematics, 21(2), 229-236.
Hoseini, N., & Nobakhtian, S, (2018). A new trust region method for nonsmooth nonconvex optimization. Optimization, 67(8), 1265-1286.
Lukšan, L., Tuma, M., Matonoha, C., Vlcek, J., Ramešová, N., Šiška, M., & Hartman, J. (2010). UFO 2014: interactive system for universal functional optimization (Vol. 1252). Technical report.
Mahdavi-Amiri, N., & Yousefpour, R. (2012). An effective nonsmooth optimization algorithm for locally Lipschitz functions. Journal of optimization theory and applications, 155, 180-195.
Nocedal, J., & Wright, S.J. (1999). Numerical optimization. Berlin, Springer.
Sun., W. (2004). Nonmonotone trust region method for solving optimization problems. Appl. Math. Comput., 156(1), 159-174.
Qi, L., & Sun, J. (1994). A trust region algorithm for minimization of locally Lipschitzian functions. Mathematical programming, 66, 25-43.
Sun, W., & Yuan, Y.X. (2006). Optimization theory and methods: nonlinear programming. Springer, New York.
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