- A New Trust Region Algorithm with Trust Region Radius Converging to Zero
- Copyright information to be inserted by the Publishers ANALYSIS ON THE CONJUGATE GRADIENT
- Journal of Computational Mathematics, Vol.20, No.6, 2002, ????. A NOTE ON THE NONLINEAR CONJUGATE GRADIENT
- AN EXTENDED CLASS OF NONLINEAR CONJUGATE GRADIENT METHODS \Lambda
- Step-Sizes for the Gradient Method Ya-xiang Yuan
- Annals of Operations Research 103,175-191, 2001 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
- IMA Journal of Numerical Analysis (1984) 4, 327-335 An Example of Only Linear Convergence of Trust Region
- Mathematical Programming 32 (1985) 224-231 North-Holland
- Mathematical Programming 35 (1986) 265-278 North-Holland
- IMA Journal of Numerical Analysis (1991) 11, 325-332 A Modified BFGS Algorithm for Unconstrained Optimization
- Mathematical Programming 61 ( 1993 ) 19-37 19 North-Holland
- TRUST REGION ALGORITHMS FOR CONSTRAINED OPTIMIZATION1
- Unconstrained Methods for Generalized Complementarity Problems
- SLMQN: FORTRAN 1
- NOR~ -I-][OIJ~u'~ A Stronger Extension of the Hardy Inequality*
- Matrix computation problems in trust region algorithms for optimization
- Convergence Properties of Beale-Powell Restart Y. H. Dai and Y. Yuan
- Global Convergence of the Method of Shortest Residuals Yu-hong Dai and Ya-xiang Yuan
- CONVERGENCE PROPERTIES OF NONLINEAR CONJUGATE GRADIENT METHODS1
- A ROBUST ALGORITHM FOR OPTIMIZATION WITH GENERAL EQUALITY AND INEQUALITY CONSTRAINTS
- Annals of Operations Research 103, 3347, 2001 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Annals of Operations Research 103. 115-133. 2001 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Computational Optimization and Applications, 22, 103109, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands.
- A Trust Region Method for Solving Distributed Parameter Identi cation Problems
- Convergence and regularity of trust region methods for nonlinear ill-posed inverse problems
- SIAM J. OPTIM. c 2007 Society for Industrial and Applied Mathematics Vol. 18, No. 1, pp. 6586
- An interior-point trust-region polynomial algorithm for convex quadratic
- Regularizing active set method for nonnegatively constrained ill-posed multichannel image
- Bulletin of Mathematical Biology (2009) 71: 19141933 DOI 10.1007/s11538-009-9431-9
- A Short Note on the Q-linear Convergence of the Steepest Descent Method
- IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 11, NO. 3, SEPTEMBER 2010 753 [8] P. Viola and M. Jones, "Robust real-time face detection," Int. J. Comput.
- Journal of Computational Mathematics, Vol.24, No.2, 2006, 149156. A NEW STEPSIZE FOR THE STEEPEST DESCENT METHOD 1)
- MATHEMATICS OF COMPUTATION Volume 66, Number 220, October 1997, Pages 15091520
- Problems on convergence of unconstrained optimization algorithms
- ON LOCAL SOLUTIONS OF THE CELISDENNISTAPIA XIONGDA CHEN AND YA-XIANG YUAN
- Digital Object Identifier (DOI) 10.1007/s101079900126 Math. Program., Ser. A 87: 561573 (2000)
- Nonlinear Optimization: Trust Region Algorithms Ya-xiang Yuan
- Trust Region Algorithms for Nonlinear Equations Ya-xiang Yuan
- 11 SOME PROPERTIES OF A NEW CONJUGATE GRADIENT METHOD
- Compute a Celis-Dennis-Tapia step Gai-di Li,
- Subspace Techniques for Nonlinear Optimization
- Combining Trust Region and Line Search Jorge Nocedal
- A NONLINEAR CONJUGATE GRADIENT METHOD WITH A STRONG GLOBAL CONVERGENCE PROPERTY
- A Potential Reduction Algorithm for an Extended SDP Jia-wang Nie and Ya-xiang Yuan
- IMA Journal of Numerical Analysis (2011) 31, 348357 doi:10.1093/imanum/drp026
- OPTIMALITY CONDITIONS FOR THE MINIMIZATION OF A QUADRATIC WITH TWO QUADRATIC CONSTRAINTS
- Convergence of Three-term Conjugate Gradient Methods Y. H. Dai and Y. Yuan
- Some Properties of Trust Region Algorithms for Nonsmooth Optimization
- Journal of Computational Mathematics Vol.28, No.1, 2010, 7286.
- Global Convergence of Trust Region Algorithms for Nonsmooth Optimization
- Trust Region Method of Conic Model for Linearly Constrained Optimization
- A sequential quadratic programming method without a penalty function or a filter for nonlinear equality constrained optimization
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- Journal of Computational Mathematics, Vol.26, No.3, 2008, 114. ON THE SEPARABLE NONLINEAR LEAST SQUARES
- Journal of Computational Mathematics, Vol.24, No.3, 2006, ??????. DISTURBED SPARSE LINEAR EQUATIONS OVER THE 0-1
- Subspace Methods for Large Scale Nonlinear Equations and Nonlinear Least Squares
- IMA Journal of Numerical Analysis (1984) 4, 233-239 On the Least Q-order of Convergence of Variable
- On the Regularity of a Trust Region-CG Algorithm for Nonlinear Ill-posed Inverse Problems
- Numer. Math. (2006) 104: 241269 DOI 10.1007/s00211-006-0021-6
- Journal of Computational Mathematics, Vol.13, No.2, 1995, 95-107. NON-QUASI-NEWTON UPDATES FOR UNCONSTRAINED
- A Null Space Algorithm for Constrained Optimization Ya-xiang Yuan
- A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
- Journal of Computational Mathematics, Vol.19, No.1, 2001, ??{??. A SCALED CENTRAL PATH FOR LINEAR PROGRAMMING 1)
- Optimization Letters DOI 10.1007/s11590-007-0060-7
- A Trust Region-CG Algorithm for Deblurring Problem in Atmospheric Image Reconstruction
- Journal of Computational Mathematics, Vol.21, No.1, 2003, ????. LINEAR SYSTEMS ASSOCIATED WITH NUMERICAL
- Mathematical Programming 31 (1985) 269-285 North-Holland
- A review of trust region algorithms for optimization
- IMA Journal of Numerical Analysis Page 1 of 10 doi:10.1093/imanum/drp026
- (1910-1985) xk+1 = xk + k(-f(xk)) ,
- An example of non-convergence of trust region Ya-xiang Yuan
- On the Quadratic Convergence of the Levenberg-Marquardt Method without Nonsingularity Assumption
- A new linearization method for quadratic assignment problems Yong XIA Ya-xiang YUAN
- A robust trust region algorithm for solving general nonlinear programming
- A Parallel Decomposition Algorithm for Training Multiclass Kernel-based Vector Machines
