Simulation Languages

2018 ◽  
pp. 151-168
Author(s):  
Matthew N. O. Sadiku ◽  
Mohammad Ilyas
Keyword(s):  
Simulation Languages

Simulation languages

1972 ◽  
Vol 3 (2) ◽  
pp. 19-21
Author(s):  
Harold Joseph Highland
Keyword(s):  
Simulation Languages

Discussion of computer simulation techniques and comparison of languages

SIMULATION ◽  
1967 ◽  
Vol 9 (4) ◽  
pp. 181-190 ◽  
Author(s):  
Daniel Tiechroew ◽  
John Francis Lubin ◽  
Thomas D. Truitt
Keyword(s):  
Computer Simulation ◽  
Graduate School ◽  
University Of Pennsylvania ◽  
Computer Languages ◽  
Simulation Techniques ◽  
Simulation Languages ◽  
Software Packages ◽  
Univer Sity ◽  
Computer Simulation Techniques

A draft of this paper was prepared for the Workshop on Simu lation Languages, Graduate School of Business, Stanford Univer sity, March 6 and 7, 1964. The paper has benefited from sugges tions from participants at the Workshop, particularly Michael Montalbano, and from projects carried out by students in the Graduate School of Business: H. Barnett, H. Guichelaar, Lloyd Krause, John P. Seagel, Charles Turk, Victor Preisser. The paper has also benefited from discussions held in connection with the Workshop on Simulation Languages, University of Pennsylvania, March 17 and 18, 1966. Characteristics of computer languages and software packages change rapidly. Some statements in the paper were originally intended for the situation current in March, 1964. Where signifi cant changes have occurred the text has been modified.

scholarly journals SBML2Modelica: integrating biochemical models within open-standard simulation ecosystems

2019 ◽  
Vol 36 (7) ◽  
pp. 2165-2172 ◽  
Author(s):  
F Maggioli ◽  
T Mancini ◽  
E Tronci
Keyword(s):  
State Of The Art ◽  
General Purpose ◽  
Heterogeneous Model ◽  
Simulation Languages ◽  
Experimental Campaign ◽  
Heterogeneous Models ◽  
Open Standard ◽  
Level 3 ◽  
Model Networks ◽  
Definition Of

Abstract Motivation SBML is the most widespread language for the definition of biochemical models. Although dozens of SBML simulators are available, there is a general lack of support to the integration of SBML models within open-standard general-purpose simulation ecosystems. This hinders co-simulation and integration of SBML models within larger model networks, in order to, e.g. enable in silico clinical trials of drugs, pharmacological protocols, or engineering artefacts such as biomedical devices against Virtual Physiological Human models. Modelica is one of the most popular existing open-standard general-purpose simulation languages, supported by many simulators. Modelica models are especially suited for the definition of complex networks of heterogeneous models from virtually all application domains. Models written in Modelica (and in 100+ other languages) can be readily exported into black-box Functional Mock-Up Units (FMUs), and seamlessly co-simulated and integrated into larger model networks within open-standard language-independent simulation ecosystems. Results In order to enable SBML model integration within heterogeneous model networks, we present SBML2Modelica, a software system translating SBML models into well-structured, user-intelligible, easily modifiable Modelica models. SBML2Modelica is SBML Level 3 Version 2—compliant and succeeds on 96.47% of the SBML Test Suite Core (with a few rare, intricate and easily avoidable combinations of constructs unsupported and cleanly signalled to the user). Our experimental campaign on 613 models from the BioModels database (with up to 5438 variables) shows that the major open-source (general-purpose) Modelica and FMU simulators achieve performance comparable to state-of-the-art specialized SBML simulators. Availability and implementation SBML2Modelica is written in Java and is freely available for non-commercial use at https://bitbucket.org/mclab/sbml2modelica.

Simple simulation: prediction of intake by dairy cows using a spreadsheet model

1989 ◽  
Vol 1989 ◽  
pp. 74-74
Author(s):  
J M Forbes
Keyword(s):  
Dairy Cows ◽  
Financial Accounting ◽  
Physical Factors ◽  
Spreadsheet Program ◽  
Spreadsheet Model ◽  
Simulation Languages ◽  
Voluntary Feed Intake ◽  
Simple Simulation ◽  
Programming Effort ◽  
A Cell

Spreadsheet computer programs provide a two-dimensional matrix into whose cells numbers and text can be placed and manipulated. A cell can also contain a formula which causes a calculation to be performed on values In other cells and the answer shown on the screen. Graphs can be produced from specified ranges of values in cells. Thus a spreadsheet is well suited to financial accounting. Modelling biological systems has often been thought to be complicated and to involve writing a computer program. Simulation languages take away much of the detailed programming effort but still require the user to learn the syntax and capabilities of the language.The aim Is to develop a simple model of voluntary feed Intake by the lactating cow using a spreadsheet program. The basis is the model described by Forbes (1988) simplified for a complete feed rather than forage and concentrates but with the level of intake determined by both metabolic and physical factors rather than by which ever of those two Is the lower.

Simulation Languages

1965 ◽  
Vol 16 (3) ◽  
pp. 381-382 ◽  
Author(s):  
J. G. Laski ◽  
A. T. Clementson
Keyword(s):  
Simulation Languages
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