×

A global convergence theory for an active-trust-region algorithm for solving the general nonlinear programing problem. (English) Zbl 1110.65049

This paper describes a new trust-region algorithm for solving general nonlinear programming problems. Based on an active set strategy, it uses a projected Hassian to form the trial step. Global convergence of the algorithm is established.

MSC:

65K05 Numerical mathematical programming methods
90C30 Nonlinear programming
90C51 Interior-point methods
Full Text: DOI

References:

[1] N. Alexandrov, J. Dennis, Multi-level algorithms for nonlinear optimization. Technical Report 94-24, Department of Computational and Applied Mathematics, Rice University, Houston, TX 77251, June (1994); N. Alexandrov, J. Dennis, Multi-level algorithms for nonlinear optimization. Technical Report 94-24, Department of Computational and Applied Mathematics, Rice University, Houston, TX 77251, June (1994)
[2] R. Byrd, E. Omojokun, Robust trust-region methods for nonlinearly constrained optimization, A talk presented at the Second SIAM Conference on Optimization, Houston, TX (1987); R. Byrd, E. Omojokun, Robust trust-region methods for nonlinearly constrained optimization, A talk presented at the Second SIAM Conference on Optimization, Houston, TX (1987)
[3] M. Celis, J. Dennis, R. Tapia, A trust-region strategy for nonlinear equality constrained optimization, In Numerical Optimization 1984. SIAM Philadelphia, Pennsylvania (1985); M. Celis, J. Dennis, R. Tapia, A trust-region strategy for nonlinear equality constrained optimization, In Numerical Optimization 1984. SIAM Philadelphia, Pennsylvania (1985) · Zbl 0566.65048
[4] Dennis, J.; El-Alem, M.; Maciel, M., A global convergence theory for general trust-region-based algorithms for equality constrained optimization, SIAM J. Optim., 7, 1, 177-207 (1997) · Zbl 0867.65031
[5] J. Dennis, M. El-Alem, K. Williamson, A trust-region approach to nonlinear systems of equalities and inequalities, Technical Report TR94-38, Dept. of Computational and Applied Mathematics, Rice University, Houston, TX 77251 (1994); J. Dennis, M. El-Alem, K. Williamson, A trust-region approach to nonlinear systems of equalities and inequalities, Technical Report TR94-38, Dept. of Computational and Applied Mathematics, Rice University, Houston, TX 77251 (1994) · Zbl 0957.65058
[6] M. El-Alem, A global convergence theory for a class of trust-region algorithms for constrained optimization. Ph.D. thesis, Department of Mathematical Sciences, Rice University, Houston, Texas (1988); M. El-Alem, A global convergence theory for a class of trust-region algorithms for constrained optimization. Ph.D. thesis, Department of Mathematical Sciences, Rice University, Houston, Texas (1988)
[7] El-Alem, M., A global convergence theory for the Celis-Dennis-Tapia trust region algorithm for constrained optimization, SIAM J. Numer. Anal., 28, 266-290 (1991) · Zbl 0725.65061
[8] El-Alem, M., A robust trust-region algorithm with a non-monotonic penalty parameter scheme for constrained optimization, SIAM J. Optim., 5, 2, 348-378 (1995) · Zbl 0828.65063
[9] M. El-Alem, A Global convergence theory for Dennis, El-Alem, and Maciel’s class of trust-region algorithms for constrained optimization without assuming regularity (1999); M. El-Alem, A Global convergence theory for Dennis, El-Alem, and Maciel’s class of trust-region algorithms for constrained optimization without assuming regularity (1999) · Zbl 0957.65059
[10] Fiacco, A.; McCormick, G., Nonlinear Programming: Sequential Unconstrained Minimization Techniques (1968), John Wiley and Sons: John Wiley and Sons New York · Zbl 0193.18805
[11] Fletcher, R., Practical methods of optimization (1987), John Wiley and Sons: John Wiley and Sons New York · Zbl 0905.65002
[12] P. Gill, W. Murray, M. Saunders, M. Wright, Some theoretical properties of an augmented Lagrangian merit function. Report SOL 86-6, Stanford University (1986); P. Gill, W. Murray, M. Saunders, M. Wright, Some theoretical properties of an augmented Lagrangian merit function. Report SOL 86-6, Stanford University (1986) · Zbl 0814.90094
[13] Han, S., A globally convergent method for nonlinear programming, JOTA, 22, 297-309 (1977) · Zbl 0336.90046
[14] Levenberg, K., A method for the solution, of certain problems in least-squares, Quart. J. Appl. Math., 2, 164-168 (1944) · Zbl 0063.03501
[15] Marquardt, D., An algorithm for least-squares estimation of nonlinear parameters, Siam J. Appl. Math., 11, 431-441 (1963) · Zbl 0112.10505
[16] Mangasarian, O., Nonlinear Programming (1969), McGraw-Hill Book Company: McGraw-Hill Book Company New York · Zbl 0127.36803
[17] E. Omojokun, Trust-region strategies for optimization with nonlinear equality and inequality constraints. Ph.D. thesis, Department of Computer Science, University of Colorado, Boulder, Colorado (1989); E. Omojokun, Trust-region strategies for optimization with nonlinear equality and inequality constraints. Ph.D. thesis, Department of Computer Science, University of Colorado, Boulder, Colorado (1989)
[18] T. Plantenga, Large-Scale nonlinear constrained optimization using trust region. Ph.D. thesis, Department of Electrical and Comp. Eng., Northwestern University, Evanston, IL (1995); T. Plantenga, Large-Scale nonlinear constrained optimization using trust region. Ph.D. thesis, Department of Electrical and Comp. Eng., Northwestern University, Evanston, IL (1995)
[19] Powell, M., A method for nonlinear constraints in minimization problems, (Fletcher, R., Optimization (1970), Academic Press: Academic Press New York), 283-298 · Zbl 0194.47701
[20] M. Powell, Algorithms for nonlinear constraints that used Lagrangian functions, Mathematical Programming, North-Holland Publishing Company, 14 (1978) 224-248; M. Powell, Algorithms for nonlinear constraints that used Lagrangian functions, Mathematical Programming, North-Holland Publishing Company, 14 (1978) 224-248 · Zbl 0383.90092
[21] Schittkowski, K., On the convergence of a sequential quadratic programming method with an augmented Lagrangian line search function, Math. Operations Forchung U. Statistic Ser., Optim., 14, 197-216 (1983) · Zbl 0523.90075
[22] L. Vicente, Trust-region interior-point algorithms for a class of nonlinear programming problems. Ph.D. thesis, Department of Computational and Applied Mathematics. Rice University, Houston, Texas (1996); L. Vicente, Trust-region interior-point algorithms for a class of nonlinear programming problems. Ph.D. thesis, Department of Computational and Applied Mathematics. Rice University, Houston, Texas (1996)
[23] Yuan, Y., On the convergence of a new trust region algorithm, Numer. Math., 70, 515-539 (1995) · Zbl 0828.65062
[24] Zhang, J.; Zhu, D., Projected quasi-Newton algorithm with trust-region for constrained optimization, J. Optim. Theory App., 67, 369-393 (1990) · Zbl 0696.90050
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.