Boudjemaa, R; Cox, M G; Forbes, A B; Harris, P M (2003) Automatic differential techniques and their application in metrology. NPL Report. CMSC 26/03

Text cmsc26.pdf Download (1MB)

Abstract

This report describes Automatic Differentiation techniques and their use in metrology. Automatic Differentiation (AD) is a term used in general to describe the various numerical techniques for computing the derivatives of a function of one or more variables. While the rules for differentiation are straightforward to understand, their implementation by hand is often time consuming and error prone. AD techniques help to overcome both these drawbacks and offer the user involved in nonlinear modelling and optimisation the promise of accurate and correct derivative information with seemingly minimal effort. In this report we describe the main AD techniques and show how they can be applied in a number of areas important to metrology.

Item Type:	Report/Guide (NPL Report)
NPL Report No.:	CMSC 26/03
Keywords:	algorithm, software, numerical analysis
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Modelling
Last Modified:	02 Feb 2018 13:16
URI:	http://eprintspublications.npl.co.uk/id/eprint/2828

Actions (login required)

View Item