Trust Region Methods

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Society for Industrial and Applied Mathematics, 2000 - Mathematics - 959 pages
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This is the first comprehensive reference on trust-region methods, a class of numerical algorithms for the solution of nonlinear convex optimization methods. Its unified treatment covers both unconstrained and constrained problems and reviews a large part of the specialized literature on the subject. It also provides an up-to-date view of numerical optimization. Written primarily for postgraduates and researchers, the book features an extensive commented bibliography, which contains more than 1000 references by over 750 authors. The book also contains several practical comments and an entire chapter devoted to software and implementation issues. Its many illustrations, including nearly 100 figures, balance the formal and intuitive treatment of the presented topics.

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About the author (2000)

Andrew R. Conn is a research staff member at the IBM T. J. Watson Research Center, Yorktown Heights, NY. In 1994 he was (with N. I. M. Gould and Ph. L. Toint) a joint recipient of the Beale/Orchard-Hays Prize for Computational Excellence in Mathematical Programming and with Chandu Visweswariah he received an IBM Corporate Award in 2002 for contributions to circuit tuning. Currently his major application projects are in the petroleum industry.

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