[comp.newprod] Mathematical Software CLAM

foulser@tethys.UUCP (David Foulser) (10/19/89)

SCIENTIFIC Computing Associates, Inc., announces the availability of
its CLAM(R) software on the Sun-3, Sun-4/SPARC, HP-9000 Series 300,
DECstation 3100, VAX ULTRIX, Sequent Symmetry, Encore Multimax, Apollo
DN10000, Stellar GS-1000, Convex C-1 and C-2, and Multiflow Trace
computers.

CLAM, the Computational Linear Algebra Machine, is an interactive
scientific computing environment with a natural, matrix-based
mathematical syntax. It incorporates a range of advanced features,
including
	o  sparse matrix algorithms and data structures, 
	o  seamless integration with FORTRAN or C subroutine libraries, and 
	o  powerful animation graphics supporting the X Window System

CLAM is meant to handle large numerical problems. This distinguishes
it from several other products such as Mathematica (primarily symbolic
math) and MATLAB (works only with smaller dense matrix problems).

CLAM features sophisticated techniques for factoring and solving large
systems of linear equations and other compute-intensive tasks.
These sparse matrix techniques allow CLAM to represent and manipulate 
large, sparse arrays efficiently. 

CLAM's X Windows graphics support color, 2-D line and contour, 3-D
surface, and animation graphics. Also available are SunView, PostScript, 
Impress, and UNIX `plot' plotting capabilities.

CLAM is also a complete numerical programming language augmented with
on-line help and symbolic debugging.

SCIENTIFIC is also announcing an educational site license program,
which offers a perpetual campus site license for any workstation CLAM
for $400 to $800 (depending on machine). The license allows any number
of host workstations and telephone support to one registered contact
person. Yearly upgrades can be purchased at approximately the same
price.

For more information, contact:

David Foulser, Ph.D.
Research Scientist/Product Manager

SCIENTIFIC Computing Associates, Inc.
246 Church Street, Suite 307
New Haven, CT 06510 USA
(203) 777-7442
sca@cs.yale.edu   or   yale!sca