Download Acta Numerica 1995 (Volume 4) by Arieh Iserles PDF

By Arieh Iserles

Acta Numerica has validated itself because the major discussion board for the presentation of definitive experiences of numerical research subject matters. Highlights of this year's factor contain articles on sequential quadratic programming, mesh adaption, unfastened boundary difficulties, and particle equipment in continuum computations. The invited papers will let researchers and graduate scholars alike to fast clutch the present tendencies and advancements during this box.

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J. D. Powell (1977), 'A fast algorithm for nonlinearly constrained optimization calculations', in Numerical Analysis Dundee, 1977 (G. A. ), Springer-Verlag, Berlin, pp. 144-157. M. J. D. Powell (1978a), 'Algorithms for nonlinear constraints that use Lagrangian functions', Mathematical Programming 14, 224-248. M. J. D. Powell (1978b), 'The convergence of variable metric methods for nonlinearly constrained optimization calculations', in Nonlinear Programming 3 (O. Mangasarian, R. Meyer and S. ), Academic Press, New York, pp.

W. Murray and F. J. Prieto (1995), 'A sequential quadratic programming algorithm using an incomplete solution of the subproblem', SIAM Journal on Optimization, to appear. S. G. Nash and A. Sofer (1995), Linear and Nonlinear Programming, McGraw-Hill, New York. J. Nocedal (1992), 'Theory of algorithms for unconstrained optimization', Ada Numerica 1991, 199-242. J. Nocedal and M. L. Overton (1985), 'Projected Hessian updating algorithms for nonlinearly constrained optimization problems', SIAM Journal on Numerical Analysis 22, 821-850.

D. P. Bertsekas (1982), Constrained Optimization and Lagrange Multipliers Methods, Academic Press, London. P. T. Boggs, P. D. Domich, J. E. Rogers and C. Witzgall (1991), 'An interior point method for linear and quadratic programming problems', Mathematical Programming Society Committee on Algorithms Newsletter 19, 32-40. P. T. Boggs, P. D. Domich, J. E. Rogers and C. Witzgall (1994), 'An interior-point method for general large scale quadratic programming problems', Internal report (in progress), National Institute of Standards and Technology.

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