Difference between revisions of "Timescalecalculus python library documentation"
From timescalewiki
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<pre>>>> dderivative(lambda x: x*x,5,ts) | <pre>>>> dderivative(lambda x: x*x,5,ts) | ||
11</pre> | 11</pre> | ||
+ | The [[delta exponential]] is supported. For example if $\mathbb{T}=\{1,2,3,4,5,6,7\}$ then $e_1(3,1)=(1+\mu(1))(1+\mu(2))=(2)(2)=4$ which is correctly computed: | ||
+ | <pre>>>> dexpf(lambda x: 1, 3, 1, ts) | ||
+ | 4</pre> |
Revision as of 03:11, 19 December 2016
This is the documentation for the Python repository timescalecalculus.
The basics
After extracting the files, open a Python instance in its folder and type
>>> from timescalecalculus import *
Now the full functionality of timescalecalculus is available to you.
Defining a time scale
Right now, a time scale can consist of only a finite list of numbers. Fraction types are available.
>>> ts=[1,2,3,4,5,6,7]
The forward jump $\sigma$ can be used:
>>> sigma(3,ts) 4
The backward jump $\rho$ can be used:
>>> rho(3,ts) 2
The delta derivative works as expected. The delta derivative of a constant is zero:
>>> dderivative(lambda x: 1,5,ts) 0
and obeying the delta derivative of squaring function, we see
>>> dderivative(lambda x: x*x,5,ts) 11
The delta exponential is supported. For example if $\mathbb{T}=\{1,2,3,4,5,6,7\}$ then $e_1(3,1)=(1+\mu(1))(1+\mu(2))=(2)(2)=4$ which is correctly computed:
>>> dexpf(lambda x: 1, 3, 1, ts) 4