A fast algorithm for nonlinearly constrained optimization calculations

Biggs, M.C. (1972) "Constrained minimization using recursive equality quadratic programming" in Numerical methods for nonlinear optimization, ed. F.A. Lootsma, Academic Press (London).Google Scholar

Biggs, M.C. (1975) "Constrained minimization using recursive quadratic programming: some alternative subproblem formulations" in Towards global optimization, eds. L.C.W. Dixon and G.P. Szegö, North-Holland Publishing Co. (Amsterdam).Google Scholar

Colville, A.R. (1968) "A comparative study on nonlinear programming codes", Report No. 320-2949 (IBM New York Scientific Center).Google Scholar

Dennis, J.E. and Moré, J. (1977) "Quasi-Newton methods, motivation and theory", SIAM Review, Vol. 19, pp. 46–89.MathSciNetCrossRefzbMATHGoogle Scholar

Fletcher, R. (1970) "A Fortran subroutine for quadratic programming", Report No. R6370 (A.E.R.E., Harwell).Google Scholar

Fletcher, R. (1975) "An ideal penalty function for constrained optimization", J. Inst. Maths. Applics., Vol 15, pp. 319–342.MathSciNetCrossRefzbMATHGoogle Scholar

Han, S-P. (1975) "A globally convergent method for nonlinear programming", Report No. 75-257 (Dept. of Computer Science, Cornell University).Google Scholar

Han, S-P (1976) "Superlinearly convergent variable metric algorithms for general nonlinear programming problems", Mathematical Programming, Vol. 11, pp. 263–282.MathSciNetCrossRefzbMATHGoogle Scholar

Powell, M.J.D. (1969) "A method for nonlinear constraints in minimization problems" in Optimization, ed. R. Fletcher, Academic Press (London).Google Scholar

Powell, M.J.D. (1976) "Algorithms for nonlinear constraints that use Lagrangian functions", presented at the Ninth International Symposium on Mathematical Programming, Budapest.Google Scholar

Powell, M.J.D. (1977) "The convergence of variable metric methods for nonlinearly constrained optimization calculations", presented at Nonlinear Programming Symposium 3, Madison, Wisconsin.Google Scholar

Rosenbrock, H.H. (1960) "An automatic method for finding the greatest or the least value of a function", Computer Journal, Vol. 3, pp. 175–184.MathSciNetCrossRefGoogle Scholar

Sargent, R.W.H. (1974) "Reduced-gradient and projection methods for nonlinear programming" in Numerical methods for constrained optimization, eds. P.E. Gill and W. Murray, Academic Press (London).Google Scholar