File:SupSuperSigma.png
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SupSuperSigma.png (449 × 440 pixels, file size: 29 KB, MIME type: image/png)
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| Description |
English: Illustration of different type of non-linear response:
sublinear ( convergent to to some saturation limit ) superlinear ( starting from some threshold ) sigmoidal ( combination of both )  This plot was created with Matplotlib. Generated by this python code: #!/usr/bin/python
from pylab import *
x = arange(0.01,10,0.01)
def func_sub( x, k=1 ):
return 1-exp(-k*x)
def func_sup( x, x0=1.5, k=3 ):
return ( 1 + x**4 )**(0.25) - 1
def func_sig( x, x0=1, k=4 ):
c = 1/(1+exp(-k*(x-x0)))
figure(figsize=(5,5))
funcs = [func_sub,func_sup,func_sig ]
names = ['sublinear' , 'superlinear','sigmoidal.' ]
for i,func in enumerate(funcs):
plot( x, func(x), label=names[i] )
legend(loc=2)
xlim(0,3)
ylim(0,1.5)
savefig( 'SupSuperSigma.png', bbox_inches='tight' )
show()
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| Date | |
| Source | Own work |
| Author | Prokophapala |
Licensing
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I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 19:22, 26 October 2014 | | 449 × 440 (29 KB) | Prokophapala (talk | contribs) | User created page with UploadWizard |
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