updateGradientError.m File Reference

Functions
function	updateGradientError (var s, var samples, var values, var A)
	Update the error estimation on the output(s), based on the gradient estimation at point A. More...

Detailed Description

Authors

SUMO Lab Team

Version

2018a

Date

Copyright 2006-2018

This file is part of the Surrogate Modeling Toolbox ("SUMO Toolbox") and you can redistribute it and/or modify it under the terms of the GNU Affero General Public License version 3 as published by the Free Software Foundation. With the additional provision that a commercial license must be purchased if the SUMO Toolbox is used, modified, or extended in a commercial setting. For details see the included LICENSE.txt file. When referring to the SUMO Toolbox please make reference to the corresponding publication:

• A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design D. Gorissen, K. Crombecq, I. Couckuyt, T. Dhaene, P. Demeester, Journal of Machine Learning Research, Vol. 11, pp. 2051-2055, July 2010.

Contact : sumo@.nosp@m.sumo.nosp@m..inte.nosp@m.c.ug.nosp@m.ent.b.nosp@m.e - http://sumo.intec.ugent.be Signature [s] = updateGradientError(s, samples, values, A)

Function Documentation

function updateGradientError	(	var	s,
		var	samples,
		var	values,
		var	A
	)

Update the error estimation on the output(s), based on the gradient estimation at point A.