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- Cleve Moler
- The MathWorks, Inc.
- moler@mathworks.com

- New Book, Computational Rheology
- New Journal, Advanced Nonlinear Studies
- Special Issue of LAA on Large Scale Eigenvalue Problems
- Winter School at INRIA on Hamilton Jacobi Problems
- SIAM Conference on Computational Science and Engineering
- MSc Studentships at Reading
- Contents, Linear Algebra and its Applications
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-------------------------------------------------------

From: Robert Owens <robert.owens@epfl.ch>

Date: Wed, 12 Jun 2002 14:12:30 +0200

**Subject: New Book, Computational Rheology**

COMPUTATIONAL RHEOLOGY

by

Robert G. Owens (EPFL, Switzerland)

Timothy N. Phillips (University of Wales, Aberystwyth, UK)

Modern day high-performance computers are making available to 21st-century

scientists solutions to rheological flow problems of ever-increasing complexity.

Computational rheology is a fast-moving subject ? problems which only 10 years

ago were intractable, such as 3D transient flows of polymeric liquids,

non-isothermal non-Newtonian flows or flows of highly elastic liquids through

complex geometries, are now being tackled owing to the availability of parallel

computers, adaptive methods and advances in constitutive modelling.

Computational Rheology traces the development of numerical methods for

non-Newtonian flows from the late 1960's to the present day. It begins with

broad coverage of non-Newtonian fluids, including their mathematical modelling

and analysis, before specific computational techniques are discussed. The

application of these techniques to some important rheological flow problems of

academic and industrial interest is then treated in a detailed and up-to-date

exposition. Finally, the reader is kept abreast of topics at the cutting edge of

research in computational applied mathematics, such as adaptivity and stochastic

partial differential equations.

All the topics in this book are dealt with from an elementary level and this

makes the text suitable for advanced undergraduate and graduate students, as

well as experienced researchers from both the academic and industrial

communities.

Contents:

* Introduction

* Fundamentals

* Mathematical Theory of Viscoelastic Fluids

* Parameter Estimation in Continuum Models

* From the Continuous to the Discrete

* Numerical Algorithms for Macroscopic Models

* Defeating the High Weissenberg Number Problem

* Benchmark Problems I: Contraction Flows

* Benchmark Problems II

* Error Estimation and Adaptive Strategies

* Contemporary Topics in Computational Rheology

Published by Imperial College Press (http://www.icpress.co.uk)

436pp Pub. date: May 2002

------------------------------

From: Walter Richardson <WRichardson@utsa.edu>

Date: Thu, 13 Jun 2002 09:27:32 -0500

**Subject: New Journal, Advanced Nonlinear Studies**

A new journal, Advanced Nonlinear Studies, is aimed at

publishing papers on nonlinear problems, particularly

those involving Differential Equations, Dynamical Systems, and

related areas. It will also publish novel and interesting applications

of these areas to problems in engineering and the sciences.

Editors: S. Ahmad (managing), H. Amann, A. Ambrosetti, A. Bahri, H. Brezis,

S. N. Chow, C. Cosner, E. N. Dancer, D. Fortunato, P. L. Lions,

J. J. Mallet-Paret, J. Mawhin, R. Ortega, K. Palmer, I. Peral,

P. H. Rabinowitz, K. Schmitt, G. R. Sell, S. Solimini, L. Veron,

G. Vidossich, F. Zanolin. For more details see the website

www.advancednonlinearstudies.com or contact:

Dr. Shair Ahmad, sahmad@utsa.edu

Department of Mathematics

The University of Texas at San Antonio

------------------------------

From: Andrew Knyazev <andrew.knyazev@cudenver.edu>

Date: Fri, 14 Jun 2002 10:56:33 +0300

**Subject: Special Issue of LAA on Large Scale Eigenvalue Problems**

LINEAR ALGEBRA AND ITS APPLICATIONS

Special issue on Large Scale Linear and Nonlinear Eigenvalue Problems

CALL FOR PAPERS:

In many different application areas there is an increasing and pressing

need for new theory and numerical techniques for solving very large

linear and nonlinear eigenvalue problems.

Recent advances in computer hardware make it feasible to solve

enormously large eigenvalue problems with millions of unknowns, but this

increase in the problem size leads to several new numerical challenges.

First, classical eigenvalue solvers that do not scale linearly with the

problem size have become very expensive for practical problems. This has

increased attention to alternative approaches such as preconditioning

for eigenvalue problems. Secondly, due to the architecture of modern

computers, there is a demand for parallel algorithms that are well

scalable with respect to the number of computing nodes. Moreover the

growth of the problem size often leads to badly conditioned problems,

which require increased algorithm stability and novel tools to estimate

the accuracy of computed eigenvalues and eigenvectors. In some

large-scale applications, one needs to find eigenpairs of a matrix that

is available only implicitly through a function that computes the

corresponding vector-matrix product for a given vector, which thus calls

for "matrix-free" eigensolvers.

This special issue will be open for all papers with significant new

results in Large Scale Linear and Nonlinear Eigenvalue Problems where

either linear algebraic methods play an important role or new tools and

problems of linear algebraic nature are presented. In addition, surveys

papers are very welcome, in particular on specific application areas

where the eigenvalue problems are especially challenging because of the

large size.

Papers must meet the publication standards of Linear Algebra and Its

Applications and will be refereed in the usual way.

The deadline for submission of papers is March 31, 2003, and the special

issue is expected to be published in 2004. Papers should be sent to any

of its special editors, preferably by email in the PostScript format:

Zhaojun Bai

Dept. of Computer Science

University of California

One Shields Avenue

Davis, CA 95616

USA

bai@cs.ucdavis.edu

Phone: +1-530-752-4874

Fax: +1-530-752-4767

Andrew Knyazev

Department of Mathematics

University of Colorado at Denver

P.O. Box 173364, Campus Box 170

Denver, CO 80217-3364.

USA

andrew.knyazev@cudenver.edu

Phone: +1-303-556-8442

Fax: +1-303-556-8550

Henk A. Van der Vorst

Mathematical Institute

Utrecht University

Mailbox 80.010

3508 TA UTRECHT

The Netherlands

vorst@math.uu.nl

Phone: +31-30-2533732

Fax: +31-30-2518394

------------------------------

From: Jean-David Benamou <Jean-David.BENAMOU@inria.fr>

Date: Thu, 13 Jun 2002 15:58:36 +0200

**Subject: Winter School at INRIA on Hamilton Jacobi Problems**

Dear Colleagues,

I have just posted the first annoucement for the last meeting of

the GO++ program :

GO++ winter school on numerical methods for Hamilton Jacobi/Hamilton Jacobi

Bellman problems.

(INRIA Rocquencourt, 9-12 december 2002).

You can access it at :

http://www-rocq.inria.fr/~benamou/school.html

Best Regards,

Jean-David Benamou

------------------------------

From: Omar Ghattas <oghattas@cs.cmu.edu>

Date: Sat, 15 Jun 2002 02:23:58 -0400

**Subject: SIAM Conference on Computational Science and Engineering**

SIAM Conference on Computational Science and Engineering (CSE03)

February 10-13, 2003

Hyatt Regency Islandia Hotel & Marina, San Diego, CA, USA

http://www.siam.org/meetings/cse03

Computational Science & Engineering (CS&E) is now widely accepted,

along with theory and experiment, as a crucial third mode of

scientific investigation and engineering design. Simulation has

enabled the study of biological, chemical, and physical phenomena and

engineered systems that are dangerous, expensive, or impossible to

study by direct observation. Aerospace, automotive, biomedical,

chemical, civil infrastructure, electronics, energy, environmental,

and other industrial sectors now rely on simulation for technical

decision support. For federal agencies also, CS&E has become an

essential support for decisions on resources, transportation, and

defense. CS&E is by nature interdisciplinary. It grows out of physical

applications and it depends on computer architecture, but at its heart

are powerful algorithms and methods. Much of CS&E has involved

simulation, but the future surely includes large-scale optimization,

design, and data assimilation, especially in the presence of

uncertainty.

ORGANIZING COMMITTEE

Steven F. Ashby, (co-chair) Lawrence Livermore National Laboratory

Isabelle Charpentier, Institut d'Informatique et Mathematiques

Appliquees de Grenoble

John Drake, Oak Ridge National Laboratory

Omar Ghattas, (co-chair) Carnegie Mellon University

Gene H. Golub, Stanford University

George M. Homsy, University of California, Santa Barbara

Christopher R. Johnson, University of Utah

David E. Keyes, (co-chair) Old Dominion University

Michael Levitt, Stanford University

Linda R. Petzold, (co-chair) University of California, Santa Barbara

Michael Ortiz, California Institute of Technology

John Shadid, Sandia National Laboratories

Shang-Hua Teng, Akamai/Boston University

Mary F. Wheeler, University of Texas, Austin

CONFERENCE THEMES (Partial List)

Advanced Discretization Methods, Computational Biology and Bioinformatics,

Computational Chemistry and Chemical Engineering, Computational Earth

and Atmospheric Sciences, Computational Electromagnetics,

Computational Fluid Dynamics, Computational Medicine and

Bioengineering, Computational Physics and Astrophysics, Computational

Solid Mechanics and Materials, CS&E Education, Discrete and

Combinatorial Algorithms for CS&E, Inverse Problems, Meshing and

Adaptivity, Multiscale and Multiphysics Problems, Numerical Algorithms

for CS&E, Optimal Design and Control, Parallel and Distributed

Computing, Problem-Solving Environments, Software and Middleware

Systems, Uncertainty Estimation and Sensitivity Analysis,

Visualization and Computer Graphics,

PLENARY SPEAKERS

Francine D. Berman, UCSD/NPACI

Janice L. Coen, National Center for Atmospheric Research

Mark Gerstein, Yale University

William D. Gropp, Argonne National Laboratory

Bruce Hendrickson, Sandia National Laboratories

Thomas J.R. Hughes, Stanford University

Ron Kikinis, Brigham and Women's Hospital and Harvard Medical School

Michael L. Norman, University of California, San Diego

Eric S.G. Shaqfeh, Stanford University

Spencer Sherwin, Imperial College

Jacob K. White, Massachusetts Institute of Technology

DEADLINE DATES

Minisymposium Proposals July 16, 2002

Minisymposium abstracts and Contributed abstracts August 13, 2002

in lecture or poster format

Audiovisual Requirements January 13, 2003

------------------------------

From: Peter Sweby <p.k.sweby@reading.ac.uk>

Date: Thu, 13 Jun 2002 10:52:17 +0100

**Subject: MSc Studentships at Reading**

The following MSc courses in te Mathematics Department at the University

of Reading, UK, have studentships available for October 2002 entry:

Numerical Solution of Differential Equations

This is a one-year course which provides training in the techniques of

computational mathematics used in Industry and Research. EPSRC

supported*.

Mathematical and Numerical Modelling of the Atmosphere and Oceans

This is a one-year course in applied and computational mathematics,

meteorology and oceanography, is a thorough training for research

careers in the mathematical and environmental sciences. NERC

supported*.

*These awards are available to UK and EU students only (tuition fees for

EU applicants).

The minimum requirement for MSc candidates is a Lower Second Class

honours degree in mathematics or a related discipline.

For further details and an application form please contact:

Mrs S Davis, The University of Reading, Department of Mathematics,

P O Box 220, Reading RG6 6AX. Tel: 0118 9 318991 or email

s.davis@reading.ac.uk

------------------------------

From: Hans Schneider <hans@math.wisc.edu>

Date: Fri, 14 Jun 2002 08:50:13 -0500 (CDT)

**Subject: Contents, Linear Algebra and its Applications**

Linear Algebra and its Applications

Volume 348, Issues 1-3, Pages 1-290 (15 June 2002)

http://www.sciencedirect.com/science/issue/5653-2002-996519998-321288

TABLE OF CONTENTS

Products of three triangular matrices over commutative rings, Pages 1-6

K. R. Nagarajan, M. Paul Devasahayam and T. Soundararajan

On the possible multiplicities of the eigenvalues of a Hermitian matrix

whose graph is a tree, Pages 7-21

Charles R. Johnson and Antonio Leal Duarte

Identification of influential observations on total least squares estimates,

Pages 23-39

Baibing Li and Bart De Moor

A matrix inequality, Pages 41-47

Xiaojing Yang

Perron-Frobenius type results on the numerical range, Pages 49-62

J. Maroulas, P. J. Psarrakos and M. J. Tsatsomeros

Non-regular square bipartite designs, Pages 63-85

Caterina De Simone, Grigor Gasparyan and Paolo Nobili

Composition of quadratic forms and the Hurwitz-Radon function in

characteristic 2, Pages 87-103

Alberto Elduque

Positive projections onto spin factors, Pages 105-113

Kil-Chan Ha

The evolution of a population under recombination: how to linearise the

dynamics, Pages 115-137

Kevin J. Dawson

A new proof of a theorem on M-matrices, Pages 139-144

Ronald B. Geskus

On inversion of Toeplitz matrices, Pages 145-151

Michael K. Ng, Karla Rost and You-Wei Wen

Least-squares inner product shaping, Pages 153-174

Yonina C. Eldar

Additive mappings decreasing rank one, Pages 175-187

Bojan Kuzma

Determinant preserving maps on matrix algebras, Pages 189-192

Gregor Dolinar and Peter emrl

On the number of unitary similarity classes in a C-S equivalence class:

the normal case, Pages 193-202

Susana Furtado and Charles R. Johnson

Quadratic linear Keller maps, Pages 203-207

Charles Ching-An Cheng

Invariant and hyperinvariant subspaces of an operator J[alpha] and related

operator algebras in Sobolev spaces, Pages 209-230

I. Yu. Domanov and M. M. Malamud

A linear operator approach to succession rules, Pages 231-246

Luca Ferrari and Renzo Pinzani

Outer inverses of matrices, Pages 247-258

Donald W. Robinson

An inequality for non-negative matrices II, Pages 259-264

Ming-wei Wang

The reverse order law for the Drazin inverses of multiple matrix products,

Pages 265-272

Guorong Wang

Modelling the folding of paper into three dimensions using affine

transformations, Pages 273-282

Sarah-Marie Belcastro and Thomas C. Hull

Comparisons of spectral radii and the theorem of Stein-Rosenberg, Pages 283-287

Wen Li, Ludwig Elsner and Linzhang Lu

------------------------------

End of NA Digest

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