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Acta Numerica 1992: Volume 1
Acta Numerica is an annual publication containing invited survey papers by leading researchers in a number of areas. This volume was originally published in 1992.
Arieh Iserles (Edited by)
9780521422918, Cambridge University Press
Paperback, published 27 October 2011
414 pages
24.4 x 17 x 2.1 cm, 0.66 kg
Review of the hardback: 'Acta Numerica is a fine achievement and I think we can expect to see it for many years to come. It sets itself laudable and important goals and has, to a large extent, achieve them. I believe that the volumes are of enormous benefit to our subject … The editorial board should be applauded for having the vision and drive necessary to create and sustain such a high quality publication … No mathematics library is complete without this annual publication, and I urge everyone working in numerical mathematics and scientific computing to read it.' Andrew Stuart, SIAM Review
Acta Numerica is an annual volume presenting survey papers in numerical analysis. Each year the editorial board selects significant topics and invites papers from authors who have made notable contributions to the development of that topic. The articles are intended to summarize the field at a level accessible to graduate students and researchers. Acta Numerica is a valuable tool not only for researchers and professionals wishing to develop their understanding of the subject and follow developments, but also as an advanced teaching aid at colleges and universities. This volume was originally published in 1992.
1. Wavelets R. A. DeVore and Bradley J. Lucier
2. Iterative solution of linear systems R. W. Freund, G. H. Golub and N. M. Nachtigal
3. Problems with multiple time scales Heinz-Otto Kreiss
4. Numerical methods for differential-algebraic equations R. März
5. Theory of algorithms for unconstrained optimization J. Nocedal
6. Symplectic integrators for Hamiltonian problems: an overview J. M. Sanz-Serna
7. Error analysis of boundary integral methods Ian H. Sloan
8. Interior methods for constrained optimization Margaret H. Wright.
Subject Areas: Numerical analysis [PBKS]