journal article
LitStream Collection
doi: 10.1177/003754978203800503pmid: N/A
EARLY DESIRE is a new, floating-point equation- language simulation system for Digital Equipment (DEC) PDP-11 and LSI-11 minicomputers. It combines(1) An interpreted job-control language for inter active program entry, editing, file operations, and multi-run experiments(2) An efficient, very fast compiler for the time- critical dynamic segment equation solution(3) Precompiled FORTRAN library routines for dif ferent integration-rule overlays.EARLY DESIRE needs no external compiler or linker. It executes directly on a RUN command at a speed 1.3 to 4 times faster than DEC RT-11 FORTRAN. Future DESIRE systems will run on 32-bit computers and will employ attached array processors as execution processors.
Ellison, David; Herschdorfer, Irma; Wilson, Jean Tunnicliffe
doi: 10.1177/003754978203800504pmid: N/A
The Apple II microcomputer provides powerful facili ties for the writing and execution of both discrete and continuous simulations. Interactive BASIC allows rapid development of new models, while color graphics provides results that are easy to analyze. Came paddles can allow the user to change parameters and control the simulation as it runs. Two new simula tion executives allow both the modeler and the user ready access to the facilities of the computer and the simulation, while preventing the user from making unreasonable or impossible changes. Despite its limited language facilities and relatively low speed, the microcomputer has obvious advantages in user inter action, model development, optimization, and analysis and presentation of results. Many of the microcom puter's limitations, furthermore, will soon disappear as more powerful languages and faster processors become available.
doi: 10.1177/003754978203800505pmid: N/A
Truncated expansions based on the sampling theorem but containing only a few terms can be useful for prac tical interpolations of band-limited or narrow-band ran dom signals. A comparison of methods applied to the vibration of an offshore platform shows that a modified Runge-Kutta algorithm provides more accuracy than standard Runge-Kutta with little increase in computa tion time.
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