Truncated newton methods for optimization with inaccurate functions and gradientsKELLEY, C. T; SACHS, E. W.Journal of optimization theory and applications. 2003, Vol 116, Num 1, pp 83-98, issn 0022-3239, 16 p.Article

On the equivalence between the modifier-adaptation and trust-region frameworksBUNIN, Gene A.Computers & chemical engineering. 2014, Vol 71, pp 154-157, issn 0098-1354, 4 p.Article

Discrimination by means of a trust region methodMARTINEZ, J. M.International journal of computer mathematics. 1995, Vol 55, Num 1-2, pp 91-103, issn 0020-7160Article

On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learningMIZUTANI, Eiji; DEMMEL, James W.Neural networks. 2003, Vol 16, Num 5-6, pp 745-753, issn 0893-6080, 9 p.Conference Paper

Optimal fin shape in finned double pipe with fully developed laminar flowIQBAL, Z; SYED, K. S; ISHAQ, M et al.Applied thermal engineering. 2013, Vol 51, Num 1-2, pp 1202-1223, issn 1359-4311, 22 p.Article

An efficient training algorithm for dynamic synapse neural networks using trust region methodsNAMARVAR, Hassan H; BERGER, Theodore W.Neural networks. 2003, Vol 16, Num 5-6, pp 585-591, issn 0893-6080, 7 p.Conference Paper

Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraintsTOINT, P. L.Mathematical programming. 1997, Vol 77, Num 1, pp 69-94, issn 0025-5610Article

Estimation of Fracture―Matrix Transport Properties from Saturation Profiles Using a Multivariate Automatic History Matching MethodBASBUG, B; KARPYN, Z. T.Petroleum science and technology. 2011, Vol 29, Num 9-12, pp 942-952, issn 1091-6466, 11 p.Article

An improved version of DYNAMIC-Q for simulation-based optimization using response surface gradients and an adaptive trust regionCRAIG, K. J; STANDER, Nielen.Communications in numerical methods in engineering. 2003, Vol 19, Num 11, pp 887-896, issn 1069-8299, 10 p.Article

A new trust region method for nonlinear equationsZHANG, Ju-Liang; YONG WANG.Mathematical methods of operations research (Heidelberg). 2003, Vol 58, Num 2, pp 283-298, issn 1432-2994, 16 p.Article

A quasi-Newton trust-region methodGERTZ, E. Michael.Mathematical programming. 2004, Vol 100, Num 3, pp 447-470, issn 0025-5610, 24 p.Article

Nonmonotone trust-region method for nonlinear programming with general constraints and simple boundsXU, D. C; HAN, J. Y; CHEN, Z. W et al.Journal of optimization theory and applications. 2004, Vol 122, Num 1, pp 185-206, issn 0022-3239, 22 p.Article

Méthodes de «trust region» dans l'étude de problèmes de minimax = Trust region methods for minimax problemsSLAMA, Bruno.1985, Foliotation mult. [121 f.]Thesis

A trust region algorithm for minimization of locally Lipschitzian functionsLIQUN QI; JIE SUN.Mathematical programming. 1994, Vol 66, Num 1, pp 25-43, issn 0025-5610Article

Recent progress in unconstrained nonlinear optimization without derivativesCONN, A. R; SCHEINBERG, K; TOINT, P. L et al.Mathematical programming. 1997, Vol 79, Num 1-3, pp 397-414, issn 0025-5610Conference Paper

A trust region algorithm for nonsmooth optimizationBANNERT, T.Mathematical programming. 1994, Vol 67, Num 2, pp 247-264, issn 0025-5610Article

On piecewise quadratic Newton and trust region problemsSUN, J.Mathematical programming. 1997, Vol 76, Num 3, pp 451-467, issn 0025-5610Article

Nonmonotone adaptive trust region methodZHENJUN SHI; SHENGQUAN WANG.European journal of operational research. 2011, Vol 208, Num 1, pp 28-36, issn 0377-2217, 9 p.Article

Static output feedback pole placement via a trust region approachKAIYANG YANG; ORSI, Robert.IEEE transactions on automatic control. 2007, Vol 52, Num 11, pp 2146-2150, issn 0018-9286, 5 p.Article

Superlinearly convergent trust-region method without the assumption of positive-definite hessianZHANG, J. L; WANG, Y; ZHANG, X. S et al.Journal of optimization theory and applications. 2006, Vol 129, Num 1, pp 201-218, issn 0022-3239, 18 p.Article

Nonmonotone trust region method for solving optimization problemsWENYU SUN.Applied mathematics and computation. 2004, Vol 156, Num 1, pp 159-174, issn 0096-3003, 16 p.Article

Inexact-restoration method with Lagrangian tangent decrease and new merit function for nonlinear programmingMARTINEZ, J. M.Journal of optimization theory and applications. 2001, Vol 111, Num 1, pp 39-58, issn 0022-3239Article

A robust trust region method for nonlinear optimization with inequality constraintZHANG, Ju-Liang.Applied mathematics and computation. 2006, Vol 176, Num 2, pp 688-699, issn 0096-3003, 12 p.Article

Global convergence without the assumption of linear independence for a trust-region algorithm for constrained optimizationEL-ALEM, M. M.Journal of optimization theory and applications. 1995, Vol 87, Num 3, pp 563-577, issn 0022-3239Article

A trust region algorithm for equality constrained optimizationPOWELL, M. J. D; YUAN, Y.Mathematical programming. 1990, Vol 49, Num 2, pp 189-211, issn 0025-5610Article