Question on the use of integrated software packages(Summary)
Godfrey Nolan
masgn at gdr.bath.ac.uk
Fri Sep 25 07:39:16 EST 1992
This posting contains a summary of the e-mail messages that we
received from our initial "Query on the use of software packages in ....".
Thanks to all those that contributed. What we were really looking
for was opinions on what is needed in a link between a symbolic computer
algebra package (e.g. Mathematica etc.) and a numerical library (e.g. NAG,
IMSL, Numerical Recipes). Please feel free to e-mail or post any more
suggestions.
A) THE REQUIREMENTS MATHEMATICIANS, ENGINEERS & SCIENTISTS HAVE OF
INTEGRATED (SOFTWARE) SYSTEMS,
[These can be split into two sections, one containing more general comments
and the second relating to specific applications]
(i)
- A good programming interface, reliable and a clean language structure.
- Consistent syntax.
- Not cumbersome.
- Easy to use, transparent interface.
- Ability to save current state.
- Good online help.
- Speed.
- Solve equations algebraically, model systems and graph results.
- A complete toolkit covering basic areas with good robust implementations of
known algorithms.
- Make it easy to modify the code to do something slightly different.
- Available on a wide variety of platforms, Macs, PCs, workstations etc.
(Some thought that only Unix workstations were necessary).
- A better learning environment.
- Packages constantly being upgraded to include the newest techniques
(Some disagreed saying this resulted in costly upgrades).
- Good Fortran, C code generation.
- Easy to import own c/f77 code.
- Front-end on a workstation, heavy computation on a supercomputer.
- Correct answers.
- Few bugs.
- Package split into maintainable modules.
- Significant number of other users so that help is available.
- Package uses standard i/o e.g. Postscript.
- User-friendly licensing policy.
(ii)
- A system that would let you specify the partial differential equations to be
solved in symbolic form, then specify the rules used for evaluating each
derivative, and would then apply the derivative rules to the specified
equations and then solve them numerically.
- Probability Integrals.
- Combining a solid mechanics stress/deformation solver with a fluid mechanics
flow solver. Then you could solve aeroelasticity ("flutter") problems.
B) WHAT POSSIBLE APPLICATIONS HAVE SUCH SYSTEMS IN MATHEMATICS, ENGINEERING
& SCIENCE,
- For cross checking C/f77 coding.
- statistics (general, biomedical, sociometrics, engineering, etc.)
- As an intelligent blackboard
- Complex nonlinear regression
- Interactive learning environment - computer classroom
- Aircraft and engine control system designs
- Finite Element Analysis
- Computational Fluid Dynamics
- Verification of technical papers.
C) THE PACKAGES AVAILABLE AT THE MOMENT,
Computer algebra packages:
Mathematica, Maple, Macsyma, Reduce, Axiom.
Integrated symbolic & computational packages:
Irena, Intercall, Mathlink, ESC.
Group theory packages:
Cayley, GAP & Pari.
Others:
MathCAD, S(+), SAS, Glimpse, I-Deas, Spice, MatLab, MatrixX.
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