From: Gene Golub <golub@sccm.Stanford.EDU>
Date: Sun, 1 Jan 95 15:10:19 PST
Belated best wishes to Ake Bjorck and Mike Osborne on the occasion of their
60th birthday. Welcome to the club guys!
From: Iain Duff <I.Duff@letterbox.rl.ac.uk>
Date: Fri, 6 Jan 95 16:38:00 GMT
Subject: John Rollett
I am sorry to relate the news from the Oxford University Computing Laboratory
that John Rollett died on January 3rd. Apparently he passed away peacefully
in his sleep whilst on holiday in Spain. I know that many of you will
remember the energy and enthusiasm of John at Oxford. At the moment, I
don't have any details of the contact address or funeral arrangements
but suggest that you contact Joan Himpson at Joan.Himpson@comlab.ox.ac.uk
for further information.
From: John C. Nash <firstname.lastname@example.org>
Date: Mon, 2 Jan 1995 15:47:58 -0500 (EST)
Subject: New Book, Scientific Computing with PCs
Announcing the publication of
Scientific Computing with PCs
by John C. Nash and Mary M. Nash
Copyright (C) 1994 J C and M M Nash
Available by FTP from the experimental server
There is a $10 licence fee for printing this book.
The table of contents, the preface and a sample chapter may be
downloaded and printed freely without violating the copyright.
This sample file is named SCPCDOC.PS.
The complete 200-page book is in four PostScript files SCPC-1.PS, ...
SCPC-4.PS. For MS-DOS users, there is a ZIP file that reduces the
size of the transmission considerably. The layout is designed to use
paper efficiently (a traditional layout took 300 pages).
The book is a condensation and overview of the extensive experience
of the authors with personal computers in scientific applications.
The intent is to address "what to" and "why to" calculate rather than
Some of the examples -- not published elsewhere -- are likely to be
of special interest to the numerical analysis community. For
example, one chapter addresses the issue of comparing implementations
of numerical algorithms for efficiency. The results -- spanning
almost two decades of testing -- provide a unique and possibly
surprising panorama of the difficulties of predicting program
performance on even the simplest of codes. The example programs are
three variants of the well-known Cholesky decomposition.
Another chapter discusses the use of statistical graphics in
the comparison on program performance, this time using published
results for the performance of optimization codes.
Note: The files are .PS (PostScript) because of the graphics and
display needed for a book of this type. We have already had a
couple of requests for an ASCII form of the book, which we are
not prepared to offer at this time. Those without PostScript
printing may want to investigate the GhostScript program from
gnu. This is available from many software archives, including
oak.oakland.edu, where you may need to get the fonts from the
unix/gnu/ etc. subdirectories while the program for PCs comes
from the msdos section of the archive.
John C. Nash, Professor of Management, Faculty of Administration
136 Jean-Jacques Lussier Private, University of Ottawa, Ottawa
Ontario, K1N 6N5 Canada email@example.com fax 613 564 6518
From: Najib Abboud <firstname.lastname@example.org>
Date: Tue, 3 Jan 1995 18:02:34 -0500
Subject: Out-of-core Symmetric Banded Solver
I would appreciate any help in locating a public-domain
fortran out-of-core solver for a symmetric banded matrix.
I would be interested in a wavefront solver but I would like
to find out about alternatives if any.
I thank you in advance for any pointers, comments ...
Najib N. Abboud
From: Jos van Dorsselaer <email@example.com>
Date: Thu, 5 Jan 1995 14:22:36 +0100
Subject: New Address for Jos van Dorsselaer
I moved from Leiden University to Utrecht University. My new
Department of Mathematics
P.O. Box 80010
3508 TA Utrecht
New email-address: firstname.lastname@example.org
Jos van Dorsselaer
From: Tony Garratt <email@example.com>
Date: Thu, 05 Jan 1995 12:04:34 GMT
Subject: Positions at AspenTech in Cambridge, UK
GENERAL COMPUTATIONAL MATHEMATICIAN AND PROGRAMMER FOR SPEEDUP
ASPENTECH UK LTD
Aspen Technology is the world leader in providing computer modelling and
simulation tools to the process industries. Our customers include most of the
world's largest chemical companies. Due to expansion at our Cambridge office we
currently have 2 positions to join our mathematics development team.
The team is responsible for the development of numerical methods needed for the
robust solution of a range of problem types in the process simulator SPEEDUP.
We require a well qualified numerical mathematician and an experienced
The numerical mathematician requires experience in one or more of the following
Numerical solution of DAEs
Numerical solution of PDEs
Numerical linear and non-linear algebra
Statistics / Parameter Estimation / Data Reconciation
Dynamic optimisation / Optimal Control
Manipulation of State-Space Models
The mathematical programmer requires experience in one or more of the following
Code performance analysis
Experience in software development and object oriented design techniques.
Design and writing of robust code for complex numerical methods
Skills and experience pertinent to both positions are:
Working on a range of computer platforms: DEC openVMS, UNIX (various), Windows
on machines ranging from PCs to CRAY supercomputers.
Strong programming skills: FORTRAN essential with C or C++ an advantage.
The ability to locate faults in numerical codes quickly and to resolve such
Good communication skills both written and verbal.
Ability to work within a team.
Up-to-date with the recently published material.
The ability to adapt and pick up new challenges quickly.
To apply, please send your CV to:
Ms Pauline Cheeseman,
AspenTech UK Ltd.,
From: SIAM <firstname.lastname@example.org>
Date: Wed, 04 Jan 95 14:07:28 EST
Subject: Contents, SIAM Control and Optimization
SIAM Journal on Control and Optimization
MARCH 1995 Volume 33, Number 2
Jack Warga: In Appreciation
H^infinity Optimal Sensitivity for a Class of Infinite-Dimensional Systems
Zeros of Spectral Factors, the Geometry of Splitting Subspaces, and the
Algebraic Riccati Inequality
Anders Lindquist, Gyorgy Michaletzky, and Giorgio Picci
A Globally Convergent Successive Approximation Method for Severely
Liqun Qi and Xiaojun Chen
Optimal Supervisory Control of Discrete Event Dynamical Systems
Ratnesh Kumar and Vijay K. Garg
Uniform Stabilization of a Hybrid System of Elasticity
System Equivalence for Periodic Models and Systems
Osvaldo M. Grasselli, Sauro Longhi, and Antonio Tornambe
Supervisory Control of Nondeterministic Systems with Driven Events via
Prioritized Synchronization and Trajectory Models
Mark A. Shayman and Ratnesh Kumar
Risk-Sensitive Production Planning of Stochastic Manufacturing Systems:
A Singular Perturbation Approach
Multilevel Hierarchical Decision Making in Stochastic Marketing-Production
S. P. Sethi and Qing Zhang
On Bang-Bang Constrained Solutions of a Control System
Raphael Cerf and Carlo Mariconda
Dealing with Integral State Constraints in Boundary Control Problems of
Quasilinear Elliptic Equations
Eduardo Casas and Luis A. Fernandez
The Stochastic Maximum Principle for Linear, Convex Optimal Control with
Abel Cadenillas and Ioannis Karatzas
Persistency of Excitation in Identification Using Radial Basis Function
A. J. Kurdila, Francis J. Narcowich, and Joseph D. Ward
Maximizing Robustness in Nonlinear Illposed Inverse Problems
Kazufumi Ito and Karl Kunisch
Corrigendum: Lagrange Multipliers in Stochastic Programming
Sjur Didrik Flam
End of NA Digest