Approximation Theory and Optimization
Tributes to M. J. D. Powell

Authorities in numerical analysis and optimisation combine to write an important volume in the area.

M. D. Buhmann (Edited by), A. Iserles (Edited by)

9780521581905, Cambridge University Press

Hardback, published 13 November 1997

236 pages
23.6 x 15.7 x 1.8 cm, 0.45 kg

Michael Powell is one of the world's foremost figures in numerical analysis. This volume, first published in 1997, is derived from invited talks given at a meeting celebrating his 60th birthday and, reflecting Powell's own achievements, focuses on innovative work in optimisation and in approximation theory. The individual papers have been written by leading authorities in their subjects and are a mix of expository articles and surveys. They have all been reviewed and edited to form a coherent volume for this important discipline within mathematics, with highly relevant applications throughout science and engineering.

Preface
Submitted talks
1. M. J. D. Powell's contributions to numerical mathematics M. D. Buhmann and R. Fletcher
2. MJDP-BCS industrial liaison: applications to defence science I. Barrodale and C. Zala
3. On the Meir/Sharma/Hall/Meyer analysis of the spline interpolation error C. de Boor
4. Asymptotically optimal approximation and numerical solutions of differential equations M. D. Buhmann, C. A. Micchelli and A. Ron
5. On the convergence of derivative-free methods for unconstrained optimization A. R. Conn, K. Scheinberg and Ph. L. Toint
6. Least squares fitting to univariate data subject to restrictions on the signs of the second differences I. C. Demetriou and M. J. D. Powell
7. A framework for interpolation and approximation on Riemannian manifolds N. Dyn, F. J. Narcowich and J. D. Ward
8. Dense factors of sparse matrices R. Fletcher
9. Optimization environments and the NEOS Server W. Gropp and J. J. Moré
10. New versions of qd for products of bidiagonals B. N. Parlett
11. On adjusting parameters in homotopy methods for linear programming M. J. Todd.

Subject Areas: Optimization [PBU], Numerical analysis [PBKS]