NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Quantifying Fire Model Evaluation Using Functional Analysis
Published
Author(s)
Richard D. Peacock, Paul A. Reneke, William D. Davis, Walter W. Jones
Abstract
Comparisons of predictive fire models with each other or with experimental data have been largely qualitative. By treating these time series curves as infinite-dimensional vectors, a branch of mathematics called functional analysis defines geometrically meaningful operations on the curves. This allows lengths, angles, and distance between two arbitrary curves to be defined and quantified. An introduction to the theory and tools provided by functional analysis is presented. Examples of the application of these tools to fire model evaluation are presented.
Peacock, R.
, Reneke, P.
, Davis, W.
and Jones, W.
(1999),
Quantifying Fire Model Evaluation Using Functional Analysis, Fire Safety Journal, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913096
(Accessed October 10, 2025)