A standard form of citation of this article is:
Izquierdo, Luis R. and Polhill, J. Gary (2006). 'Is Your Model Susceptible to Floating-Point Errors?'. Journal of Artificial Societies and Social Simulation 9(4)4 <https://www.jasss.org/9/4/4.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{izquierdo2006,
title = {Is Your Model Susceptible to Floating-Point Errors?},
author = {Izquierdo, Luis R. and Polhill, J. Gary},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {4},
pages = {4},
year = {2006},
URL = {https://www.jasss.org/9/4/4.html},
keywords = {Floating Point Arithmetic, Floating Point Errors, Agent Based Modelling, Computer Modelling, Replication},
abstract = {This paper provides a framework that highlights the features of computer models that make them especially vulnerable to floating-point errors, and suggests ways in which the impact of such errors can be mitigated. We focus on small floating-point errors because these are most likely to occur, whilst still potentially having a major influence on the outcome of the model. The significance of small floating-point errors in computer models can often be reduced by applying a range of different techniques to different parts of the code. Which technique is most appropriate depends on the specifics of the particular numerical situation under investigation. We illustrate the framework by applying it to six example agent-based models in the literature.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Is Your Model Susceptible to Floating-Point Errors?
AU - Izquierdo, Luis R.
AU - Polhill, J. Gary
Y1 - 2006/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 4
SP - 4
UR - https://www.jasss.org/9/4/4.html
KW - Floating Point Arithmetic
KW - Floating Point Errors
KW - Agent Based Modelling
KW - Computer Modelling
KW - Replication
N2 - This paper provides a framework that highlights the features of computer models that make them especially vulnerable to floating-point errors, and suggests ways in which the impact of such errors can be mitigated. We focus on small floating-point errors because these are most likely to occur, whilst still potentially having a major influence on the outcome of the model. The significance of small floating-point errors in computer models can often be reduced by applying a range of different techniques to different parts of the code. Which technique is most appropriate depends on the specifics of the particular numerical situation under investigation. We illustrate the framework by applying it to six example agent-based models in the literature.
ER -