Abstract
An algorithm is presented for the numerical solution of nonlinear programming problems in which the objective function is to be minimized over feasiblex after having been maximized over feasibley. The vectorsx andy are subjected to separate nonlinear constraints. The algorithm is obtained as follows: One starts with an ‘outer’ algorithm for the minimization overx, that algorithm being taken here to be a method of centers; then, one inserts into this algorithm an adaptive ‘inner’ procedure, which is designed to compute a suitable approximation to the maximizery in a finite number of steps. The ‘outer’ and ‘inner’ algorithms are blended in such a way as to cause the inner one to converge more rapidly. The results on convergence and rate of convergence for the outer algorithm continue to hold (essentially) for the composite algorithm. Thus, what is considered here, for the first time for this type of problem, is the question of how one inserts an approximation procedure into an algorithm so as to preserve its convergence and its rate of convergence.
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References
J.W. Blankenship and J.E. Falk, “Infinitely constrained optimization problems”,Journal of Optimization Theory and Applications 19 (1976) 261–281.
R.W. Chaney, “On the Pironneau—Polak method of centers”,Journal of Optimization Theory and Applications 20 (1976) 269–294.
J.M. Danskin,The theory of max—min (Springer-Verlag, Berlin, 1967).
U.M. Garcia Palomares and O.L. Mangasarian, “Superlinearly convergent quasi-Newton algorithms for nonlinearly constrained optimization problems”,Mathematical Programming 11 (1976) 1–13.
S.T. Glad, “Properties of updating methods for the multipliers in augmented Lagrangians”,Journal of Optimization Theory and Applications 28 (1979) 135–156.
T. Glad and E. Polak, “A multiplier method with automatic limitation of penalty growth”,Mathematical Programming 17 (1979) 140–155.
S.-P. Han, “Dual variable metric algorithms for constrained optimization”,SIAM Journal on Control and Optimization 15 (1977) 546–565.
S.-P. Han, “Superlinearly convergent variable metric algorithms for general nonlinear programming problems”,Mathematical Programming 11 (1976) 263–282.
M.R. Hestenes,Calculus of variations and optimal control theory (Wiley, New York, 1966).
R. Klessig and E. Polak, “A method of feasible directions using function approximations, with applications to min—max problems”,Journal of Mathematical Analysis and Applications 41 (1973) 583–602.
E.S. Levitin, “A general minimization method for unsmooth extremal problems”,USSR Computational Mathematics and Mathematical Physics 9 (1969) 63–93.
H. Mukai and E. Polak, “A quadratically convergent primal—dual algorithm with global convergence properties for solving optimization problems with equality constraints”,Mathematical Programming 9 (1975) 336–349.
J.M. Ortega and W.C. Rheinboldt,Iterative solutions of nonlinear equations in several variables (Academic Press, New York, 1970).
O. Pironneau and E. Polak, “A dual method for optimal control problems with initial and final boundary constraints”,SIAM Journal on Control 11 (1973) 534–549.
O. Pironneau and E. Polak, “On the rate of convergence of certain methods of centers”,Mathematical Programming 2 (1972) 230–257.
E. Polak, “On the global stabilization of locally convergent algorithms for optimization and root finding”,Automatica 12 (1976) 337–342.
R.T. Rockafellar, “Augmented Lagrange multiplier functions and duality in nonconvex programming,SIAM Journal on Control 5 (1973) 354–373.
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Chaney, R.W. A method of centers algorithm for certain minimax problems. Mathematical Programming 22, 202–226 (1982). https://doi.org/10.1007/BF01581037
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DOI: https://doi.org/10.1007/BF01581037