Subject: NA-NET distribution message

From: [email-masked]
Date: Sun, 2 Apr 89 10:55:49 PDT

NA Digest   Sunday, April 2, 1989   Volume 89 : Issue 13

Today's Editor: Cleve Moler

Today's Topics:

     Random Algorithms for Elliptic PDE
     Position at Cornell
     Perfect Universal Numerical Kernel

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From: Art Werschulz <[email-masked]>
Date: 30 Mar 89 15:00:45 GMT
Subject: Random Algorithms for Elliptic PDE

Does anybody out there have pointers to information on random
algorithms for *elliptic* partial differential equations?  This would
include (but not necessarily be limited to) random walk algorithms,
Monte Carlo algorithms, etc.

Thanks.

      Art Werschulz
      Columbia University Computer Science Department

      InterNet:  [email-masked]
      BITnet:    agw%cs.columbia.edu@cunyvm
      CSnet:     agw%cs.columbia.edu@csnet-relay
      USEnet:    ...!rutgers!columbia!cs!agw

      ATTnet:   Columbia University (212) 854-8642 854-2736
                Fordham University  (212) 841-5323 841-5396

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From: Tom Coleman <[email-masked]>
Date: Fri, 31 Mar 89 13:59:17 -0500
Subject: Position at Cornell

			Cornell University
                     Computer Science Department

	Research Associate: Entry-level. Conduct research
	in the Cornell Computational Optimization Project
	(CCOP) with particular emphasis on large-scale
	continuous (and piece-wise continuous) problems.
	Ph.D. in computer science with specialization in
	numerical optimization. Post-doctoral experience
	(minimum of six months). Expert knowledge of methods
	for piece-wise continuous minimization, with a solid
	research tract record in this area. Working knowledge
	of MATLAB, Fortran and some parallel computing experience.
	Proven ability to analyze and establish mathematical
	convergence properties of minimization algorithms.
	Salary: $30,000 - $35,000 annually. Send curriculum vitae with
	three references to Thomas Coleman, Department of
	Computer Science, Cornell University, Ithaca, NY
	14853-7501. Cornell University is an equal opportunity
	employer and welcomes applications from women and
	ethnic minorities.

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From: Ed Plum <[email-masked]>
Date: Sat, Apr 1 1989 20:09:64 
Subject: Perfect Universal Numerical Kernel

News Release
April 1, 1989
Palo Alto, California

     Mathematicians at Palo Alto's Universal Numerical Techniques
Studio (NUTS) today announced an unprecedented breakthrough in
mathematical software.  Their Perfect Universal Numerical Kernel
(PUNK) is expected to replace all previously developed mathematical
software.  The new algorithm solves all possible numerical problems
and achieves all the goals of quality mathematical software:

     * Perfectly Portable -- runs on all computers.

     * Perfectly Stable -- introduces no roundoff error.

     * Perfectly Parallel -- linear speedup for any number of processors.

     * Perfectly Patentable -- of course.

The foundation of the technique is a data base of important, useful
and frequently occurring numbers.  The PUNK Preprocessor expands this
into a list of all the floating point numbers for any particular computer.
The user of the system specifies a problem by providing a function
F(X) which evaluates the problem specific residual.  PUNK then
generates a sequence of approximate solutions, X, until one is found
for which F(X) = 0.  Separate processors on a parallel computer are
assigned to individual components of the solution vector, and so
perfect parallel efficiency is obtained on large problems.
Since all possible floating point numbers are tried until an exact
solution is found, no additional rounding errors are introduced
by PUNK.

The system is now in beta test, and will be available by the
end of the quarter.

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End of NA Digest
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