User Portlet
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| In current versions of the Wolfram Language you can simply start a Python session in a virtual environment as follows (here I am using `astropy` as an example, but you can do this with any Python package): session = StartExternalSession[ ... |
| Hello, I am using python in Mathematica notebook as external evaluator and I would like to change the python executable to be used. I tried to register a new python executable and after that if I run FindExternalEvaluators["Python"] I got this[See... |
| You can set an arbitrary function to handle extrapolation: ifn = Interpolation[Range[10]^2, "ExtrapolationHandler" -> { Piecewise[{{100 - (# - 10)^2, x >= 10}}, 1 + 10 (1 - #)] &, "WarningMessage" -> False }]... |
| thank you. it works |
| Hi Paolo The answer is yes you can. The problem with your approach is that entering a pdf into LogLikelihood function. If you looked at the documentation you can see that it takes a distribution. You should do the following:- First define your... |
| Hello Daniel, I just found in wolfram library archive a nb which could answers my needs http://library.wolfram.com/infocenter/MathSource/699/ even if it creates a module which computes the coefficient of the spline function, while I was trying... |
| Thank you It works P |
| I think this covers it: https://mathematica.stackexchange.com/a/22729/9490 ``` In[1]:= |
| A one-dimensional version where the random additions are generated inside NestList dR[a_, b_, r_, w_] := r + a*b*w; rSim[a_, b_, w_, r_] = r + dR[a, b, r, w]; NestList[rSim[a, b, RandomReal[], #] &, r0, 3] With FoldList you can... |
| I used your data and adapted the function to make it easy to demonstrate In[3]:= x = {0.0, 0.1, 0.2, 0.2, 0.3, 0.3} y = {0.1, 0.2, 0.3, 0.4, 1.0, 1.5} z = {0.01, 0.02, 0.022, 0.023, 0.02344, 0.02345} Out[3]= {0., 0.1,... |