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Status: RO

NA Digest   Sunday, September 30, 1990   Volume 90 : Issue 34

Today's Editor: Cleve Moler

Today's Topics:

     Updated NA Net Mailing List
     Examples of "Pseudo-eigenvalues"
     Changes of Address for Youcef Saad
     Textbook Recommendation Sought
     New Book on Linear Control Design
     First Issue of SIAM Journal on Optimization
     Contents: SIAM J. Control and Optimization
     ICASE Meeting on Scalable Multiprocessors
     ICS'91 Call for Papers
     5th Copper Mountain Conference on Multigrid Methods
     Multigrid Short Course
     Is There a "Public Domain MATLAB?"

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

From: The NA Net <na@na-net.stanford.edu>
Date: Sun Sep 30 20:08:03 PDT 1990
Subject: Updated NA Net Mailing List

Mark Kent has put a lot of effort into bringing the NA Net mailing
list up to date.  It now has 1558 entries.  The list is used both
for this NA Net News Digest and for the NA Net e-mail forwarding
service.  The later is accessed by sending mail to
     na.lastname@na-net.stanford.edu
If there is an unambiguous match to 'lastname' in the mailing list,
the mail will automatically be forwarded.  If there is more than one
match, you will be sent a message with the possible messages,
together with the initials which must be prepended to distinguish
among them.  If there is no match, you will be sent a message saying so.  

Thanks, Mark, for updating the list.

   -- Cleve


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

From: Nick Trefethen <nick@hydra.maths.unsw.OZ.AU>
Date: Fri, 21 Sep 90 22:31:47 +1000
Subject: Examples of "Pseudo-eigenvalues"

Dear colleagues:

   I am in the process of writing a review of applications in numerical
analysis of the theory of what I like to call "pseudo-eigenvalues" of
non-normal matrices.  If  A  is a matrix and  eps  is a positive
real number, then a complex number  z  is defined to be an
"eps-pseudo-eigenvalue of  A " if it satisfies either of the
following equivalent conditions:

     (i) z  is an eigenvalue of  A+E  for some perturbation
         matrix  E  with  norm(E) <= eps ; or

    (ii) The resolvent satisfies  norm(inv(zI-A)) >= 1/eps .

Many topics seem to be illuminated by this notion, such as the
power-boundedness of families of matrices, the convergence of matrix
iterations, the behavior of certain adaptive algorithms, and the
stability of discretizations of p.d.e.'s.

   Can any of you help me by pointing out references in this area
that I may have missed?  For example, the definitions above were
used by Varah in 1979; have other authors used them too, perhaps earlier?
A plot of numerically computed pseudo-spectra (i.e., level curves
of the norm of the resolvent) appears in a 1987 paper of Demmel;
have any other such plots been published?  More generally, I am
always on the lookout for interesting examples of matrices whose
eigenvalues are highly sensitive to perturbations, and have found
matrices of this kind in the literature due to Kahan, Ruhe, and Higham,
among others.  Are there other good examples I may be unaware of?

   I would be grateful for any comments or references on these topics.

          Nick Trefethen
          School of Mathematics, University of New South Wales
          P.O. Box 1, Kensington, NSW 2033 Australia
          nick@hydra.maths.unsw.oz.au


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

From: Youcef Saad <saad@riacs.edu>
Date: Sat, 29 Sep 90 14:18:05 PDT
Subject: Changes of Address for Youcef Saad

Colleagues: 

   From Oct. 1 to Oct 30, my address will be
       Youcef Saad, National Tsing Hua University
       Institute of Applied Math., 
       Hsinchu, Taiwan 30043, Republic of China.

   Starting Nov. 1st 1990, my permanent address will be:

          Youcef Saad
          Computer Science Dept.
          University of Minnesota
          4-192 EE/CSci Building
          200 Union Street S.E.
          Minneapolis, MN 55455-0159

          Phone: (612) 624-7804 (Office) 
                 (612) 625-4002 (CS dept)
                 (612) 624-9802 (Office at the 
                                 Minnesota Supercomp. Inst.)
          e-mail: saad@cs.umn.edu, na.saad@na-net.stanford.edu


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

From: Martin Berzins <martin@dcs.leeds.ac.uk>
Date: Mon, 24 Sep 90 08:15:40 BST
Subject: Textbook Recommendation Sought
    
Introductory texts in mathematical software & scientific computation.

Starting in January 1991, I have to teach a 20 lecture + practicals
course to provide an introduction to numerical methods with a strong
slant towards mathematical software and scientific computation.
Does anyone know of a suitable text, preferably with examples in
Pascal? The best I've managed to do so far are two out-of-print books
- An Introduction to Numerical Computation in Pascal, Dew and James,
Macmillan and
-Numerical Methods A Software Approach, R.L. Johnston, Wiley.
Both are out of print now. 
The book by Ortega and Poole on differential equations is very 
good and has some
of the material but is too advanced for first-year students.
Any suggestions?

   -- Martin Berzins (na.berzins)

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

From: Stephen Boyd <boyd@ISL.Stanford.EDU>
Date: Mon, 24 Sep 90 08:58:35 MDT
Subject: New Book on Linear Control Design

New book available

Linear Controller Design: Limits of Performance
by Stephen Boyd and Craig Barratt (Stanford EE Dept.)
is now available.

The main topic of the book is closed-loop design and the computation
of performance limits using convexity.  The book introduces a standard
framework for the control design problem and describes many practical
design specifications in this framework.  It is shown that many of these
specifications are closed-loop convex; the corresponding control design
problems can therefore be solved using the convex optimization algorithms
described in the latter part of the book.
 
Some special points of interest for NA people:

* The whole point of the book is to apply more numerical computing to
  the problem of controller design than is commonly done.  This is done
  by casting many controller design problems as infinite-dimensional
  nondifferentiable convex optimization problems.

* Two standalone chapters cover norms of signals and systems,
  and their computation.

* Two standalone chapters cover convex analysis and nondifferentiable
  convex optimization, emphasizing ellipsoid and cutting-plane methods.
  Many numerical examples illustrate the typical behavior of these
  algorithms.

* Over 27000 lines of matlab source were written to generate the numerical
  examples and 216 plots and figures. To the authors' knowledge, the extent
  of the numerical computation in this book is unprecedented in a book on
  control systems.

* Title: Linear Controller Design: Limits of Performance
         (428 pages, 216 figures, bibliography, index).
* Publisher: Prentice-Hall Inc.
* ISBN: 0-13-538687-X, Title Code: 538-686.

   -- Stephen Boyd & Craig Barratt


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

From: SIAM Publications Department <SIAMPUBS@wharton.upenn.edu>
Date: Wed, 26 Sep 90 11:01 EDT
Subject: First Issue of SIAM Journal on Optimization

SIAM JOURNAL ON OPTIMIZATION
February 1991  Volume 1, Number 1

CONTENTS

William C. Davidon
Variable Metric Method for Minimization

Roger Fletcher
A New Variational Result for Quasi-Newton Formulae

Kurt M. Anstreicher
On the Performance of Karmarkar's Algorithm over a Sequence of Iterations

Guangye Li
Successive Element Correction Algorithms for Sparse Unconstrained Optimization

V. Jeyakumar
Composite Nonsmooth Programming with Gateaux Differentiability

John R. Engels and Hector J. Martinez
Local and Superlinear Convergence for Partially Known Quasi-Newton Methods

Jong-Shi Pang, Shih-Ping Han, and Narayan Rangaraj
Minimization of Locally Lipschitzian Functions

Y. Dai, G. van der Laan, A. J. J. Talman, and Y. Yamamoto
A Simplicial Algorithm for the Nonlinear Stationary Point Problem on an
Unbounded Polyhedron 

Jiu Ding and Tien-Yien Li
A Polynomial-Time Predictor-Corrector Algorithm for a Class of Linear
Complementarity Problems

C. T. Kelley and Ekkehard W. Sachs
A New Proof of Superlinear Convergence for Broyden's Method in Hilbert Space

Jorge J. More and Gerardo Toraldo
On the Solution of Large Quadratic Programming Problems with Bound Constraints

O. L. Mangasarian
Convergence of Iterates of an Inexact Matrix Splitting Algorithm for the
Symmetric Monotone Linear Complementarity Problem

Virginia Torczon
On the Convergence of the Multidirectional Search Algorithm

EDITORIAL BOARD 
 
    Kurt M. Austreicher 
    Francisco O. Barahona  
    Dimitri P. Bertsekas 
    Frank H. Clarke  
    Andrew R. Conn 
    John E. Dennis 
    Donald Goldfarb 
    Clovis Gonzaga 
    C. T. Kelley 
    Masakazu Kojima 
    O. L. Mangasarian 
    Jose Mario Martinez 
    Jorge J. More 
    George Nemhauser 
    Jorge Nocedal 
    Michael L. Overton 
    R. T. Rockafellar 
    Roger W. H. Sargent 
    Michael A. Saunders 
    Robert B. Schnabel 
    Alexander Schrijver 
    Richard A. Tapia 
    Eva Tardos 
    PH. L. Toint 
    Layne T. Watson 
    Roger J.B. Wets 
    Margaret H. Wright 
    Yinyu Ye 
    Stavros A. Zenios 
    Francesco Zirilli 
    Jochem Zowe 
 
For additional information, please contact
    SIAM
    3600 University City Science Center
    Philadelphia, PA  19104-2688
    telephone: 215-382-9800
    fax: 215-386-7999
    e-mail: siam@wharton.upenn.edu. 


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

From: SIAM Publications Department <SIAMPUBS@wharton.upenn.edu>
Date: Fri, 28 Sep 90 14:30 EDT
Subject: Contents: SIAM J. Control and Optimization
 
Table of Contents 
 
SIAM J. Control and Optimization 
Vol. 29, No. 1, January 1991 
 
J. S. Gibson and A. Adamian 
Approximation Theory for Linear-Quadratic-Gaussian Control of
Flexible Structures 
 
B. Charlet, J. Levine, and R. Marino 
Sufficient Conditions for Dynamic State Feedback Linearization 
 
Manlio Gaudioso and Maria Flavia Monaco 
Quadratic Approximations in Convex Nondifferential Optimization 
 
D. S. Gilliam, B. A. Mair, and C. F. Martin 
An Inverse Convolution Method for Regular Parabolic Equations 
 
P. Acquistapace, F. Flandoli, and B. Terreni 
Initial Boundary Value Problems and Optimal Control for
Nonautonomous Parabolic Systems 
 
Paul Tseng 
Applications of a Splitting Algorithm to Decomposition in Convex
Programming and Variational Inequalities 
 
R. H. Kwong 
On the Linear Quadratic Gaussian Problem with Correlated Noise
and its Relation to Minimum Variance Control 
 
U. Faigle and W. Kearn 
Note on the Convergence of Simulated Annealing Algorithms 
 
A. A. Stoorvogel 
The Singular H Control of Problem with Dynamic Measurement Feedback 
 
Henry Hermes 
Asymptotically Stabilizing Feedback Controls and the Nonlinear
Regulator Problem 
 
Vilmos Komornik 
Rapid Boundary Stabilization of the Wave Equation 
 
G. da Prato, A. J. Pritchard, and J. Zabcyzk 
On Minimum Energy Problems 
 
Michael Pedersen 
Pseudodifferential Perturbations and Stabilization of Distributed
Parameter Systems:  Dirichlet Control Problems 
 

For additional information regarding the SIAM J. Control and Optimization,
please contact
    Vickie Kearn, Publisher
    SIAM
    3600 University City Science Center
    Philadelphia, PA  19104-2688
    telephone: 215-382-9800
    fax: 215-386-7999
    e-mail: siampubs@wharton.upenn.edu


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

From: Joel Saltz <saltz-joel@CS.YALE.EDU>
Date: Mon, 24 Sep 90 00:48:51 EDT
Subject: ICASE Meeting on Scalable Multiprocessors

PRELIMINARY AGENDA

UNSTRUCTURED SCIENTIFIC COMPUTATION ON SCALABLE MULTIPROCESSORS

Ramada Inn, Kill Devil Hills, NC
October 29-31, 1990
Sponsored by ICASE

Monday, October 29, 1990

    Manuel Salas, NASA Langley Research Center
        An Assessment of Unstructured-Grid Methods for the 
        Analysis of Aircraft Fields

    Harold Trease, Los Alamos National Laboratory
        The Free-Lagrange Method on the Connection Machine

    Steven Hammond, Robert Schreiber, NASA Ames Research Center
        Mapping Unstructured Grid Problems to the Connection Machine 

    Steven G. Kratzer, Supercomputing Research Center
        Unstructured Sparse QR Factorization on SIMD Computers

    Kapil K. Mathur, Thinking Machines Corporation
        Data Parallel Algorithms for the Finite Element Method

    Joel Saltz, ICASE, NASA Langley Research Center
        Runtime Compilation for Multiprocessors

    Ting-Fook Ngai, Stephen Lundstrom and Michael Flynn,Stanford University
        Run-Time Scheduling of Unstructured Scientific 
        Computation on Scalable Multiprocessors

    Charles Koelbel, Rice University, Piyush Mehrotra, ICASE,
        Compiler Support for Unstructured Scientific Computations

    Steve Roy, Princeton University
        Parallelization of Adaptive Fast Multipole Algorithms

    Jack B. Dennis, Dataflow Computer Corporation
        Compiling Irregular Codes for Data Parallel Execution

Tuesday, October 30, 1990

    Roy Williams, California Institute of Technology
        Parallel Load Balancing for Parallel Unstructured Meshes

    Geoffrey Fox, Syracuse University
        Parallel Software and Algorithmic Issues for Fast Nbody Solvers

    John A. Board, Jr., James F. Leathrum, Jr., Duke University
        Mapping the Fast Multipole Algorithm onto MIMD Systems

    Shahid Bokhari, University of Engineering & Technology, Lahore
        On-line Parallel Binary Dissection

    Rainald Lohner, The George Washington University, 
    Jose Camberos, Marshal Merriam, NASA Ames Research Center
        Parallel Unstructured Grid Generation

    David Keyes, Yale University and ICASE, 
        Adaptive Refinement in Domain Decomposition Methods

    Calvin J. Ribbens, Virginia Polytechnic Institute and State University
        A Moving Mesh Scheme for Dynamically Adaptive Domain Decomposition

    R. Henderson, G. Karniadakis, Princeton University
        Hybrid Spectral Element-Finite Difference Techniques on 
        Multiprocessing Environments

    Sukumar R. Chakravarthy, Sampath Palaniswamy
    Rockwell International Science Center
        Some Aspects of Single-Zone Structured-Grid CFD For Hypercube
        MIMD Computer

    Charbel Farhat, University of Colorado at Boulder
    L. Fezoui, S. Lanteri, INRIA, France
        Unstructured Compressible Flow Computations on the Connection Machine

Wednesday, October 31, 1990

    David Nicol, The College of William and Mary 
        Algorithmic Issues in Mapping Workload

    Kirk R. Pruhs, Taieb F. Znati, Rami G. Melhem, University of Pittsburg
        Dynamic Mapping of Adaptive Finite Element Computations onto
        Linear Arrays

    Sharon L. Smith and Robert B. Schnabel, University of Colorado at Boulder
        Centralized and Distributed Dynamic Scheduling for Adaptive,
        Parallel Algorithms

    William Celmaster, BBN  Advanced Computers Inc.
        Random-Access Bandwidth and Grid-Based Algorithms on Massively
        Parallel Computers

    Mo Mu, John Rice, Purdue University
        Performance of PDE Sparse Solvers on Hypercubes

    Edoardo S. Biagioni, Jan F. Prins, University of North Carolina
        Scan Directed Load Balancing for Highly-Parallel Mesh-Connected
        Computers


Please contact Emily Todd by October 8 1990 if you are interested
in attending.

E-Mail emily@icase.edu

US Mail

Emily Todd
MS 132C ICASE
NASA Langley Research Center
Hampton VA
23665


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

From: Ruediger Esser <ZDV003%DJUKFA11.BITNET@Forsythe.Stanford.EDU>
Date: Mon, 24 Sep 90 08:52:29 MES
Subject: ICS'91 Call for Papers

                            CALL FOR PAPERS

                  1991 ACM International Conference on
                             Supercomputing

                      June 17-21, Cologne, Germany

                         Conference Co-Chairmen
       Edward S. Davidson, University of Michigan, Ann Arbor, USA
        Friedel Hossfeld, Research Center Juelich (KFA), Germany

                           Program Director
            Yoichi Muraoka, Waseda University, Tokyo, Japan

                           Program Committee

EUROPE AND AFRICA         NORTH AND SOUTH AMERICA    JAPAN AND FAR EAST
U. Trottenberg (Chair)    E. Houstis (Chair)         T. Yuba (Chair)
L.M. Delves               D. Bailey                  T. Hoshino
I. Duff                   F. Darema                  Y. Kanada
W. Giloi                  D. DeGroot                 H. Kashiwagi
J.R. Gurd                 G. Fox                     N. Koike
G. Hoffmann               E. Gallopoulos             S. Nagashima
W. Jalby                  D. Gannon                  H. Tanaka
A. Lichnewski             M. Heath                   Y. Tanakura
P. Mueller-Stoy           J. McGraw                  H. Terada
T. Papatheodorou          P. Messina                 K. Toda
P. Sguazzero              C. Polychronopoulos
H. Wijshoff               J. Rice
H. Zima

The fifth International Conference on Supercomputing is soliciting papers
on significant new research results in the development and use of super-
computer systems. Contributions should emphasize the novel aspects of the
work being reported and should discuss their implications for future
supercomputer development. Papers are welcome on topics including the
following areas:

             ARCHITECTURAL DESIGN OF SUPERCOMPUTER SYSTEMS
              SOFTWARE SYSTEMS SUPPORT FOR SUPERCOMPUTING
                     APPLICATIONS OF SUPERCOMPUTING
           SUPERCOMPUTING ALGORITHMS AND PERFORMANCE ANALYSIS

                             Submissions

Authors are invited to send five copies of the full manuscript in English
to the program chairman of their region. Their addresses are:

EUROPE AND AFRICA        NORTH AND SOUTH AMERICA    JAPAN AND FAR EAST
Ulrich Trottenberg       Elias Houstis              Toshitugu Yuba
GMD/F1                   Dept. Computer Science     ETL 1-1-4  Umesono
Schloss Birlinghoven     Purdue University          Tukuba, Ibaraki
D-5205 Sankt Augustin    W. Lafayette, IN 47907     305 Japan
Germany                  USA

The deadline for submissions is DECEMBER 1, 1990. Authors will be
notified of acceptance by February 20, 1991. Final, camera-ready versions
of accepted submissions will be due by March 20, 1991. The Conference
Proceedings will be published by ACM.

SPONSORS: ACM-SIGARCH in association with AICA, BCS-PPG, CSRD, CTI, CWI,
GI, GMD, INRIA, IPSJ, KFA, SBMAC, and SIAM-SIAGS.

For further details, please contact:  Ruediger Esser
                                      KFA-ZAM
                                      D-5170 Juelich, Germany
                                      Phone:  +49-2461-61-6588
                                      Fax:    +49-2461-61-6656
                                      E-mail: zdv003@djukfa11.bitnet


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

From: Steve McCormick <smccormi@copper.Denver.Colorado.EDU>
Date: Fri, 28 Sep 90 07:54:40 -0600
Subject: 5th Copper Mountain Conference on Multigrid Methods

             *** Announcement and Call for Papers ***

                  5th COPPER MOUNTAIN CONFERENCE
                                on
                         MULTIGRID METHODS

                     Copper Mountain, Colorado
                       March 31-April 5, 1991

                          Organized by

                University of Colorado at Denver
            Front Range Scientific Computations, Inc.
         Society for Industrial and Applied Mathematics

                          Sponsored by

          U.S. Air Force Office of Scientific Research
                   National Science Foundation
                              IBM

                        Special Features

                        Multigrid Circus 
                    Student Paper Competition
                     Code/Algorithm Bake-Off

Chairmen:          Tom Manteuffel & Steve McCormick, 
                      University of Colorado at Denver
 
Program Chairman:  Jan Mandel, University of Colorado at Denver

Program Committee: Joel Dendy, Los Alamos National Laboratory
                   Craig Douglas, IBM
                   Guy Lonsdale, Gesellschaft f. Math. u. Datenverarbeitung
                   Seymour Parter, University of Wisconsin
                   Joseph Pasciak, Brookhaven National Laboratory
                   John Ruge, University of Colorado at Denver
                   Klaus Stueben, Gesellschaft f. Math. u. Datenverarbeitung
                   James Thomas, NASA Langley
                   Pieter Wesseling, Delft University
 
Workshop Chairman: Paul Frederickson, RIACS
 
 
     This conference traditionally provides a forum for interaction
among basic researchers and practitioners. To promote this, morning
and evening seminar sessions will be held and afternoons will be open
for informal workshops, discussions, and special sessions. Anyone
interested in organizing such a session should contact one of the
chairmen. 

     The conference will be held at the Copper Mountain Resort, about
75 miles west of Denver. Deluxe condominium accommodations and
adjacent meeting rooms are in the Village Square Lodge at the base of
the Copper Mountain F lift.  

PAPERS: Please send title, short abstract, mailing address, phone
number, and e-mail address (if available) BY DECEMBER 1, 1990 to:
              Division of Extended Studies
              University of Colorado at Denver
              Campus Box 164
              P.O.Box 173364
              Denver, CO 80217-3364, USA
Complete manuscripts for inclusion in the preliminary conference
proceedings will be due MARCH 1, 1991. Selected papers will be
refereed, with authors' consent, for publication in a special
issue of the SIAM Journal on Numerical Analysis.

REGISTRATION: The conference fee ($195 for SIAM members and $215 for
non-members by March 1, $235 and $260 thereafter, $45 any time for
students) should be paid with registration directly to the above
address for the Division of Extended Studies. Please contact one of
the conference chairmen for necessary forms. Conference fee includes
preliminary proceedings, a reception, coffee breaks, and a banquet.

MULTIGRID CIRCUS: Inspired by the finite element circus, we are
including a circus for informal lectures and presentation of late-
breaking research results. Anyone who attends the conference is
welcome to lecture during these sessions, which are tenatively
planned for late afternoon on the first four days.                                                
STUDENT PAPER COMPETITION: Travel assistance will be awarded to a few
students who submit papers that we judge to be the best research papers.
Deadline for submission of student papers is JANUARY 1, 1991. Please
submit your paper with a brief statement of your background (institution,
advisor, expected graduation date) to the Division of Extended Studies
at the above address. Clearly mark it "Student Paper Competition."

MULTIGRID CODE/ALGORITHM BAKE-OFF:  Entrants must submit ONE test problem that
has not already been submitted (Poisson's equation on a cube is already taken,
sorry) with a code to generate the matrices, initial guesses, and right-hand
sides in a known language (no copyright notices, please).  This will be
distributed to all involved.  You will be responsible for timing your own
program on some machine(s).  You must also be willing to time other
participants codes on your machine(s).  You are not obligated to debug other
people's codes, however.  Scalar, superscalar, vector, parallel, and
combination machines are welcome.  Craig Douglas will oversee this mess, and
will edit a joint paper with the participants.  For more information, and the
real rules, send e-mail to douglas-craig@cs.yale.edu or bells@yktvmv.bitnet.
Deadline for entering is JANUARY 1, 1991.

LODGING should be reserved directly with the Copper Mountain Resort
by calling 1-800-458-8386 in the USA outside of Colorado, 1-800-332-3828
in Colorado, and 303-968-2882 overseas. (FAX: 303-968-2711.) The rates are
$70 for a lodge room (one or two queen beds) and $142 for a two-bedroom
condominium. Limousine and bus service is available from Stapleton
International Airport in Denver.  Detailed information is available
on registration forms.

SHORT COURSE: The conference will be preceeded by a week-long multigrid
short course in Denver, March 25-29, 1991. For more information, please
contact:
               Chaoqun Liu
               Computational Math Group, Campus Box 170
               University of Colorado at Denver
               1200 Larimer Street
               Denver, CO 80204
               (303) 556-4807
               e-mail:  cliu@copper.colorado.edu


FOR REGISTRATION FORMS/FURTHER INFORMATION:
 
               Tom Manteuffel or Steve McCormick
               Computational Math Group, Campus Box 170
               University of Colorado at Denver
               1200 Larimer Street
               Denver, CO 80204
               (303)556-4807
               e-mail:  tmanteuf@copper.colorado.edu
                        smccormi@copper.colorado.edu


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

From: Steve McCormick <smccormi@copper.Denver.Colorado.EDU>
Date: Fri, 28 Sep 90 07:55:48 -0600
Subject: Multigrid Short Course

                 *** MULTIGRID SHORT COURSE ***
                 *** Information & Schedule ***
 
                University of Colorado at Denver
                         March 25-29, 1991
 
Principal Lecturer:    Achi Brandt
 
Supporting Lecturers:    John Adams, William Briggs, Chaoqun Liu,
                                Steve McCormick, John Ruge
Shortcourse Chairman:    Chaoqun Liu
 
Purpose: 	To provide an understanding of the principles and
          procedures for multilevel methods, especially for partial
          differential equations, including new multilevel approaches
          in computational fluid dynamics.
 
Registration Fee: 	$500 (regular), $150 (student). Includes books
                    and other course materials, refreshments, and
                    computer lab access.
 
Topics:  
          . Basic tutorial
          . Advanced methods for PDE's (including
            multigrid procedures for general systems, nonlinearity,
            ellipticity/nonellipticity, time dependence, inverse
            problems, indefiniteness, discontinuities, singularities,
            performance prediction/analysis, constrained optimization)
          . Adaptive techniques (MLAT, FAC)
          . Algebraic methods (AMG)
          . Computational fluid dynamics (including finite volume element
            methods, high Reynolds number flow, steady and unsteady
            Navier-Stokes equations, Steady and unsteady Euler equations,
            flow transition, and two-phase porous flow)
          . Introduction to non-PDE multilevel techniques (including
            integral and integro-differential equations, fast
            dense matrix multiplication, many-body interactions,
            Direct solvers, large determinants, global discrete
            highly-nonlinear optimization, and multilevel Monte Carlo
            in statistical physics)
 
Emphasis will be placed on concepts and basic principles, illustrated by
concrete examples and results. Certain codes will be made available to
participants for laboratory experimentation during and after the short 
course. Adjustments will be made to the schedule based upon the expressed
interests of the participants.

For Registration and Further Information, Please Contact:

                          Chaoqun Liu
                 Computational Mathematics Group
                University of Colorado at Denver
               1200 Larimer Street, Campus Box 170
           Telephone: (303) 556-4807 or (303) 556-4886
                e-mail:  cliu@copper.colorado.edu


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

From: Cleve Moler <moler@mathworks.com>
Date: Sun Sep 30 20:55:07 PDT 1990
Subject: Is There a "Public Domain MATLAB?"

              Is There a "Public Domain" MATLAB?

>From time to time, I see references to, or get requests for, the
"public domain" version of MATLAB.  As the original author of
MATLAB, and one of the founders of The MathWorks, I would like
to explain how I regard "public domain" MATLAB.

There are two versions of MATLAB.  I wrote the first, which we now
refer to as "classic" MATLAB, over the period from 1977 to 1984,
while I was on the faculty at the University of New Mexico.  It is 
an interactive matrix laboratory, written in Fortran, which uses
some of the subroutines from LINPACK and EISPACK.  I distributed
a few hundred copies of the source code, usually charging a
small service charge, and including a letter requesting that the
code not be redistributed.  I never used the term "public domain".

The second version, written in C by Steve Bangert and John Little,
is the basis for a family of products from The MathWorks, Inc.,
a company which Bangert, Little and I founded in 1985.  These
products are called PC-MATLAB, Mac-MATLAB, Pro-MATLAB, etc.

I obviously recommend that anyone interested in using MATLAB
acquire the MathWorks version appropriate for his or her machine.
In addition to my commercial interest, I believe the MathWorks
versions are preferable scientifically, educationally, and, in the
long run, economically.  The MathWorks versions:

     * Are faster in execution,
     * Have much better storage management,
     * Include powerful graphics,
     * Are extensible and programmable,
     * Can be expanded with sophisticated "toolboxes",
     * Are supported by scientific software professionals.
    
The only feature of classic MATLAB that is not present in modern
MATLAB is the "chop" function which allows the simulation of
shorter precision arithmetic.  It is an interesting curiosity,
but it is no substitute for roundoff error analysis and it makes
execution very slow, even when it isn't used.

I know of several serious bugs in classic MATLAB, particularly
in logical and looping operations, but I don't intend to fix them.
In fact, there have been no fixes made to the code since about 1982.
I stopped distributing any copies myself 4 or 5 years ago.

The number of computers for which MathWorks MATLAB is not available
is declining as old machines are retired and new machine versions
are announced.

A few other commercial systems, for example SCT's CTRL-C,
are based on classic MATLAB.  That's OK.  CTRL-C, was done with
my permission and it helped establish MATLAB in control and
systems engineering.  Now the company is a worthy competitor.

I realize that classic MATLAB is available on a few bulletin boards
and through some "freeware" services.  In some cases, unauthorized
statements about public domain software are included.   I have
regarded this as a mixed blessing.  It certainly gives the MATLAB
approach to computing valuable exposure, but I am afraid that some
users of classic MATLAB do not realize how inferior it is to the
MathWorks products.

In summary, here is my position:

     * There is no such thing as "public domain" MATLAB.

     * I no longer distribute "classic" MATLAB.

     * The code and documentation of classic MATLAB cannot
       be used for commercial purposes without my permission.

     * I would appreciate it if anybody making a copy of
       classic MATLAB for personal or educational use
       would include this statement with it.

   -- Cleve Moler
      moler@mathworks.com, or,
      na.moler@na-net.stanford.edu

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End of NA Digest
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