Acta Numerica 2001: Volume 10

An annual volume presenting substantive survey articles in numerical analysis and scientific computing.

Arieh Iserles (Edited by)

9780521157698, Cambridge University Press

Paperback, published 11 August 2011

568 pages
24.4 x 17.7 x 2.9 cm, 0.89 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

Numerical analysis is the subject of applied mathematics concerned mainly with using computers in evaluating or approximating mathematical models. As such, it is crucial to all applications of mathematics in science and engineering, as well as being an important discipline on its own. Acta Numerica surveys annually the most important developments in numerical analysis and scientific computing. The subjects and authors of the substantive survey articles are chosen by a distinguished international editorial board so as to report the most important developments in the subject in a manner accessible to the wider community of professionals with an interest in scientific computing.

1. An optimal control approach to a posteriori error estimation in finite element methods Roland Becker and Rolf Rannacher
2. Mathematical modelling of linearly elastic shells Philippe G. Ciarlet
3. Some new results and current challenges in the finite element analysis of shells Dominique Chapelle
4. Geometric aspects of the theory of Krylov subspace methods Michael Eiermann and Oliver G. Ernst
5. Data mining techniques Markus Hegland
6. Discrete mechanics and variational integrators J. E. Marsden and M. West
7. Semidefinite optimization M. J. Todd.

Subject Areas: Numerical analysis [PBKS]