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Monday, November 23, 2020 | History

1 edition of Modeling and simulation on microcomputers, 1986 found in the catalog.

Modeling and simulation on microcomputers, 1986

Modeling and simulation on microcomputers, 1986

  • 138 Want to read
  • 28 Currently reading

Published by Society for Computer Simulation in San Diego, Calif .
Written in English

    Subjects:
  • Digital computer simulation -- Congresses,
  • Microcomputers -- Congresses

  • Edition Notes

    Statementedited by Claude C. Barnett
    ContributionsBarnett, Claude C, Society for Computer Simulation, Conference on Modeling and Simulation on Microcomputers (1986 : San Diego, Calif.)
    The Physical Object
    Paginationxii, 257 p. :
    Number of Pages257
    ID Numbers
    Open LibraryOL16256291M

    Each stage in modeling and simulation depends on the quality and limitations provided in each of the steps that precede it. Creating Theoretical Models. This requires defining what is to be in a model and what is to be ignored. Not everything can be included in a model. With the availability of relatively inexpensive, high-speed microcomputers and engineering workstations, simulation software is becoming increasingly popular for modeling complex are currently two major classes of simulation software: languages and simulators.A simulation language is a computer package that is general in nature. Amiga ROM kernel reference manual June June Read More. Authors: C Sassenrath, R Peck, S Sey; Microcomputers. Computing methodologies. Modeling and simulation. Model development and analysis. Model verification and validation. . NRL REVIEW SIMULATION, COMPUTING, AND MODELING High-Yield Z-Pinch Thermonuclear Neutron Source A.L. Velikovich,1 R.W. Clark,2 J. Davis,1 J.L. Giuliani, 1 Y.K. Chong, C.A. Coverdale,3 and D. Flicker3 1Plasma Physics Division 2Berkeley Research Associates, Inc. 3Sandia National Laboratories Introduction: Neutron beams are useful for Author: J. Davis, D. Flicker.


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Modeling and simulation on microcomputers, 1986 Download PDF EPUB FB2

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Modeling and simulation (M&S) is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.

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