parameterize

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Related to parametrize: parameterized

pa·ram·e·ter·ize

(pə-răm′ĭ-tə-rīz′) also pa·ram·e·trize (-ĭ-trīz′)
tr.v. pa·ram·e·ter·ized, pa·ram·e·ter·iz·ing, pa·ram·e·ter·iz·es also pa·ram·e·trized or pa·ram·e·triz·ing or pa·ram·e·triz·es
To describe in terms of parameters.

pa·ram′e·ter·i·za′tion (-tə-rĭ-zā′shən) n.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

parameterize

(pəˈræmɪtəˌraɪz) or

parameterise

vb (tr)
to describe or characterize in terms of a parameter. Also: parametrize or parametrise
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

pa•ram•e•ter•ize

(pəˈræm ɪ təˌraɪz)

v.t. -ized, -iz•ing.
to describe by the use of parameters.
[1935–40]
pa•ram`e•ter•i•za′tion, n.
Random House Kernerman Webster's College Dictionary, © 2010 K Dictionaries Ltd. Copyright 2005, 1997, 1991 by Random House, Inc. All rights reserved.
Translations
parametrisieren
References in periodicals archive ?
On the other hand, in the analogue for [M.sub.g] [Od14], we distinguish [[bar.[M.sub.g]].sup.GH] and [[bar.[M.sub.g]].sup.T], where the boundaries of [[bar.[M.sub.g]].sup.GH] (resp., [[bar.[M.sub.g]].sup.T]) parametrize metrized graphs (resp., metrized graphs with integer weights on the vertices).
Hence, we parametrize the contour and write the integral as
Linear models assume implicitly that the data used to parametrize the model is independent, normal, and homogeneous in variance.
Moreover, the error of the three terms [mathematical expression not reproducible] that parametrize the rotation [mathematical expression not reproducible] can be approximated by the covariance matrix
The constants [A.sub.i] and [B.sub.i] for i = 1, 2 parametrize the saturating functional response, B, is the prey population level where the predation rate per unit prey is half its maximum value.
Treating each point on the Gaussian scatterer locally as a flat plane, we can parametrize the entire scatterer by a local incident angle [[theta].sub.L] that is x-dependent and that is distinct from the global incident angle [[theta].sub.G] (see Figure 1(c)).
The smooth and gradual variation of [k.sub.HG] and [k.sub.4] with [u.sub.2] made it easy to parametrize them almost perfectly with [u.sub.2] as reflected in the extremely high values of [r.sup.2] > 0.999.
A more challenging evaluation for the model would be to ask it to make predictions outside of the sample used to parametrize it.
We want to determine and parametrize the family of ideals that complement the two-dimensional space G spanned by g = {x, y}.
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