Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints
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[1] G. R. Walsh,et al. Methods Of Optimization , 1976 .
[2] John E. Dennis,et al. Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.
[3] Nicholas I. M. Gould,et al. Global Convergence of a Class of Trust Region Algorithms for Optimization Using Inexact Projections on Convex Constraints , 1993, SIAM J. Optim..
[4] L. Grippo,et al. A class of nonmonotone stabilization methods in unconstrained optimization , 1991 .
[5] Nicholas I. M. Gould,et al. CUTE: constrained and unconstrained testing environment , 1995, TOMS.
[6] P. Toint,et al. Global convergence of a class of trust region algorithms for optimization with simple bounds , 1988 .
[7] Philippe L. Toint,et al. An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization , 1996, SIAM J. Sci. Comput..
[8] J. J. Moré,et al. On the identification of active constraints , 1988 .
[9] N. Deng,et al. Nonmonotonic trust region algorithm , 1993 .
[10] P. Toint,et al. Correction to the paper on global convergence of a class of trust region algorithms for optimization with simple bounds , 1989 .
[11] Nicholas I. M. Gould,et al. Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A) , 1992 .
[12] Elizabeth Eskow,et al. A New Modified Cholesky Factorization , 1990, SIAM J. Sci. Comput..
[13] L. Grippo,et al. A nonmonotone line search technique for Newton's method , 1986 .
[14] Nicholas I. M. Gould,et al. Convergence Properties of an Augmented Lagrangian Algorithm for Optimization with a Combination of General Equality and Linear Constraints , 1996, SIAM J. Optim..
[15] J. F. Bonnans,et al. Avoiding the Maratos effect by means of a nonmonotone line search II. Inequality constrained problems—feasible iterates , 1992 .
[16] T. Steihaug. The Conjugate Gradient Method and Trust Regions in Large Scale Optimization , 1983 .
[17] P. Toint. Global Convergence of a a of Trust-Region Methods for Nonconvex Minimization in Hilbert Space , 1988 .
[18] C. Lemaréchal,et al. The watchdog technique for forcing convergence in algorithms for constrained optimization , 1982 .
[19] Francisco Facchinei,et al. Nonmonotone bundle-type scheme for convex nonsmooth minimization , 1993 .
[20] Jorge J. Moré,et al. Recent Developments in Algorithms and Software for Trust Region Methods , 1982, ISMP.
[21] Paul H. Calamai,et al. Projected gradient methods for linearly constrained problems , 1987, Math. Program..
[22] Philippe L. Toint,et al. Towards an efficient sparsity exploiting newton method for minimization , 1981 .
[23] Gerardo Toraldo,et al. Convergence properties of trust region methods for linear and convex constraints , 1990, Math. Program..
[24] A. Tits,et al. Avoiding the Maratos effect by means of a nonmonotone line search I. general constrained problems , 1991 .
[25] Jorge J. Moré,et al. Trust regions and projected gradients , 1988 .
[26] L. Grippo,et al. A truncated Newton method with nonmonotone line search for unconstrained optimization , 1989 .