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 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

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

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

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

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

A trust region method for zero-one nonlinear programmingMAURICIO, D; MACULAN, N.RAIRO. Recherche opérationnelle. 1997, Vol 31, Num 4, pp 331-341, issn 0399-0559Article

Local minima of the trust region problemLYLE, S; SZULARZ, M.Journal of optimization theory and applications. 1994, Vol 80, Num 1, pp 117-134, issn 0022-3239Article

Projected quasi-newton algorithm with trust region for constrained optimizationZHANG, J. Z; ZHU, D. T.Journal of optimization theory and applications. 1990, Vol 67, Num 2, pp 369-393, issn 0022-3239Article

A TRUST REGION ALGORITHM WITH CONJUGATE GRADIENT TECHNIQUE FOR OPTIMIZATION PROBLEMSGONGLIN YUAN; ZENGXIN WEI.Numerical functional analysis and optimization. 2011, Vol 32, Num 1-3, pp 212-232, issn 0163-0563, 21 p.Article

A trust region algorithm for constrained optimizationCORRADI, G.International journal of computer mathematics. 2000, Vol 74, Num 2, pp 225-236, issn 0020-7160Article

A new trust region algorithm for bound constrained minimizationFRIEDLANDER, A; MARTINEZ, J. M; SANTOS, S. A et al.Applied mathematics & optimization. 1994, Vol 30, Num 3, pp 235-266, issn 0095-4616Article

A convergent secant method for constrained optimizationJIANZHONG ZHANG; DETONG ZHU.Japan journal of industrial and applied mathematics. 1994, Vol 11, Num 2, pp 265-288, issn 0916-7005Article

Sizing the BFGS and DFP updates: numerical studyCONTRERAS, M; TAPIA, R. A.Journal of optimization theory and applications. 1993, Vol 78, Num 1, pp 93-108, issn 0022-3239Conference Paper