- Today's Editor:
- Cleve Moler
- The MathWorks, Inc.
- moler@mathworks.com

- Automatic Differentiation Tools
- ADIFOR 2.0 is Now Available
- Decision Tree for Optimization Software
- Matrix Re-ordering for ILU-CG
- Change of Address for Roger Ghanem
- New Books on Nonconvex Optimization and its Applications
- Scottish Computational Maths Symposium
- Postdoctoral Position at University of Minnesota

**URL for the World Wide Web:**
http://www.netlib.org/na-net/na_home.html
-------------------------------------------------------

From: Chris Bischof <bischof@mcs.anl.gov>

Date: Mon, 14 Aug 1995 14:56:26 -0500

**Subject: Automatic Differentiation Tools**

Automatic Differentiation (AD) is a technique for augmenting computer programs

with derivative computations.

A compilation of available automatic differentiation software

available at

http://www.mcs.anl.gov/Projects/autodiff/AD_Tools

It provides short highlights of Fortran 77, Fortran 90, ANSI-C and C++

AD tools, as well as of system integrating AD such as MAPLE or AMPL, and

AD support libraries.

For each contribution, a brief description of its functionality, highlights,

as well as pointers to developers and informational material are provided.

Chris Bischof

Mathematics and Computer Science Division

Argonne National Laboratory

bischof@mcs.anl.gov

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

From: ADIFOR Project <adifor@cs.rice.edu>

Date: Wed, 16 Aug 1995 10:39:50 -0500

**Subject: ADIFOR 2.0 is Now Available**

The ADIFOR 2.0 automatic differentiation system is now available.

We are proud to mention that ADIFOR 2.0 recently won the 1995 Wilkinson

Prize for Numerical Software at the Int. Conf. on Industrial and Applied

Mathematics (ICIAM 95) in Hamburg, Germany.

To find out more about ADIFOR, in particular how to obtain the ADIFOR 2.0

system or documentation and reports pertaining to it, visit the ADIFOR web

sites at

http://www.mcs.anl.gov/adifor

or

http://www.cs.rice.edu/~adifor (note the tilde!)

ADIFOR is not in the public domain, but it is available for non-commercial

use or evaluation for commercial purposes free of charge.

The ADIFOR 2.0 system is a tool for the automatic differentiation of

Fortran 77 programs. Given a Fortran 77 source code and a user's

specification of dependent and independent variables, ADIFOR will generate

an augmented derivative code that computes the partial derivatives of all

of the specified dependent variables with respect to all of the specified

independent variables in addition to the original result.

The ADIFOR 2.0 system consists of the ADIFOR 2.0 preprocessor, the

ADIntrinsics 1.0 intrinsic handler system, and the SparsLinC 1.0

(Sparse Linear Combination) library. It offers full Fortran 77

support, flexible handling of Fortran intrinsics, and transparent

sparsity support.

Christian Bischof Alan Carle

Math & Comp. Sc. Div. Center for Research on Parallel Comp.

Argonne National Lab. Rice University

bischof@mcs.anl.gov carle@cs.rice.edu

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

From: Hans Mittelmann <beck@plato.la.asu.edu>

Date: Thu, 17 Aug 1995 09:22:46 -0700

**Subject: Decision Tree for Optimization Software**

Decision Tree for Optimization Software

An HTML-version of the decision tree and guide recently announced

in NA-digest 95-31 and the sci.math.num-analysis and sci.op-research

newsgroups is now accessible at

http://plato.la.asu.edu/guide.html

Hans D. Mittelmann

Arizona State University Phone: (602) 965-6595

Department of Mathematics Fax: (602) 965-0461

Tempe, AZ 85287-1804 email: mittelmann@math.la.asu.edu

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

From: Bas Braams <bab@ipp-garching.mpg.de>

Date: Fri, 18 Aug 1995 11:12:55 GMT

**Subject: Matrix Re-ordering for ILU-CG**

Matrix re-ordering strategies are important in connection with direct

solution methods for sparse equations; e.g. /1/. What about matrix

re-ordering in connection with ILU-based iterative methods? I would be

interested to know of studies comparing the effectiveness of various

matrix orderings for the (non-symmetric) ILU-CG solution of sparse

systems. I am particularly interested in systems that come from the

discretization of an advection-diffusion equation.

/1/ I. S. Duff, A. M. Erisman and J. K. Reid: Direct Methods for Sparse

Matrices, Clarendon Press, Oxford, 1986.

-- Bas Braams (braams@cims.nyu.edu)

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

From: Roger Ghanem <ghanem@eng.buffalo.edu>

Date: Mon, 14 Aug 1995 17:26:51 -0400

**Subject: Change of Address for Roger Ghanem**

New address is:

Roger Ghanem,

201 Latrobe,

The Johns Hopkins University,

3400 N. Charles St.,

Baltimore, MD 21218.

Tel: (410) 516-7647

Fax: (410) 516-7473

email: ghanem@venus.ce.jhu.edu

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

From: Panos Pardalos <pardalos@math.ufl.edu>

Date: Mon, 14 Aug 1995 11:41:22 -0400

**Subject: New Books on Nonconvex Optimization and its Applications**

Nonconvex Optimization and its Applications

Kluwer Academic Publishers

Title: Advances in Optimization and Approximation/ edited by

D.-Z. Du and J. Sun

Series Name: Nonconvex optimization and its applications ; vol. 1

Publication Info: Dordrecht ; Boston : Kluwer Academic Publishers, 1994.

ISBN: 0-7923-2785-3

Title: Handbook of Global Optimization / edited by Reiner Horst

and Panos M. Pardalos.

Series Name: Nonconvex optimization and its applications ; vol. 2

Publication Info: Dordrecht ; Boston : Kluwer Academic Publishers, 1995.

ISBN: 0-7923-3120-6

Title: Introduction to global optimization / by Reiner Horst,

Panos M. Pardalos, and Nguyen V. Thoai.

Series Name: Nonconvex optimization and its applications ; v. 3

Publication Info: Dordrecht ; Boston : Kluwer Academic Publishers, 1995.

ISBN: 0-7923-3556-2 (also available in paperback)

Title: Minimax and applications / edited by Ding-Zhu Du and

Panos M. Pardalos.

Series Name: Nonconvex optimization and its applications ; v. 4

Publication Info: Boston : Kluwer Academic Publishers, 1995.

ISBN: 0-7923-3615-1

How to order the books:

E-mail kluwer@world.std.com.

Fax Kluwer at 617-871-6528.

Phone Kluwer at 617-871-6600.

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

From: Dugald Duncan <dugald@ma.hw.ac.uk>

Date: Fri, 18 Aug 1995 17:54:27 +0100

**Subject: Scottish Computational Maths Symposium**

SCOTTISH COMPUTATIONAL MATHEMATICS SYMPOSIUM 1995

SECOND ANNOUNCEMENT

10am-5pm Wednesday 20th September

Hume Tower, University of Edinburgh, Scotland.

This is the fourth annual SCOTTISH COMPUTATIONAL MATHEMATICS SYMPOSIUM

organised by D.B. Duncan (Heriot-Watt University) and D.M. Sloan

(University of Strathclyde) with the aim of bringing together

mathematicians and others who develop and/or use computer algorithms to

solve mathematical problems. The meetings are open to everyone

interested and this one is supported by a grant from the London

Mathematical Society.

SPEAKERS

* M. Berzins (University of Leeds)

"Adaptive Solution Methods for Combustion and Atmospheric

Dispersion Problems using the Method of Lines"

* D.F. Griffiths (University of Dundee)

To be announced.

* J.C. Mason (University of Huddersfield)

"Approximation with Neural Networks"

* A. Ramage (University of Strathclyde)

"Iterative Methods for a Class of Indefinite Linear Systems"

* J.C. Eilbeck/D.B. Duncan (Heriot-Watt University)

"Mathematics on the Internet".

REGISTRATION & INFORMATION

Please register as soon as possible (deadline September 8th) by sending

a cheque for 20 pounds (15 for students) payable to Heriot-Watt

University. Include your address so that we can contact you. The fee

includes tea, coffee and lunch.

To register or to obtain further information please contact:

SCMS95, Department of Mathematics,

Heriot-Watt University, Edinburgh, EH14 4AS.

e-mail: dugald@ma.hw.ac.uk.

WWW Information: http://www.ma.hw.ac.uk/scms/

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

From: Yousef Saad <saad@cs.umn.edu>

Date: Wed, 16 Aug 1995 10:30:49 -0500 (CDT)

**Subject: Postdoctoral Position at University of Minnesota **

University of Minnesota

Department of Computer Science

Position available: Postdoctoral Associate

A Postdoctoral Associate position is available to work on a project

related to parallel sparse matrix computations. Applicants must have

a strong background in numerical linear algebra. Good knowledge of

partial differential equations, domain decomposition techniques,

sparse matrix techniques, and iterative methods, is desirable. A

Ph.D. in Computer Science or related field is required as well as an

extensive experience in parallel programming.

The project, supported by ARPA, involves the development of a library

for sparse matrix computations called P_SPARSLIB. A first version of

the library is currently available and part of the work consists of

adding functionality to the library, as well as improving performance

on specific platforms.

The university of Minnesota provides a state-of-the-art environment

for supercomputing and parallel computing. In addition to hardware

available to U of M researchers at the Minnesota Supercomputer Center,

the department of Computer Science also houses a cluster of SGI

workstations and a cluster of IBM workstations and is soon to receive

an IBM SP2.

Interested applicants should send a resume and cover letter *as soon

as possible* to:

Professor: Yousef Saad

Dept. of Computer Science

University of Minnesota

4-192 EE/CSci Building

200 Union Street S.E.

Minneapolis, MN 55455

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

End of NA Digest

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