1. Example scripts¶
This is an index of the example scripts in the examples
directory in the
repository. The links point to the file preview on github.
1.1. Short index¶
a b c d dft doubleint e f fourier g h i j k l m n o p pdf1 pdf2 pdf3 pdf4 pdf5 pdf6 pdf7 pdf8 q r s t u v w x y z
1.2. Long index¶
a.py: EXAMPLE A.
Where the oscillating nature of an unknown function is revealed from but a few points, though only to a certain distance.
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b.py: EXAMPLE B.
Where it is discovered that the derivative of the unknown function is orthogonal to the function itself, and furthermore that it is orange instead of blue.
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c.py: EXAMPLE C.
Where a nonlinear transformation hides the true height of some crosses.
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d.py: EXAMPLE D.
Where the primitive of our function takes some freedom to move up and down.
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dft.py: Constrain the discrete Fourier transform of a periodic process. Shows how to use GP.addlintransf.
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doubleint.py: Test of double integral constraint
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e.py: EXAMPLE E.
Where observing both a function and its derivative put some restraint on their behaviour.
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f.py: EXAMPLE F.
Where apparently in these times it is not anymore possible to know exactly where one gentleman’s function will pass.
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fourier.py: Constrain the values of Fourier series coefficients
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g.py: EXAMPLE G.
Where two ways of expressing one’s beliefs are compared and found, satisfactorily, to be quite similar.
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h.py: EXAMPLE H.
Where at first sight nothing has changed, but behind the scenes important information has been lost forever.
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i.py: EXAMPLE I.
Where, due to obscure political reasons, we insist on forgetting important details that a reasonable man’s mind would be fond of recalling later.
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j.py: EXAMPLE J.
Where the excessive smoothness of the prediction is found not to satisfy our manly tastes.
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k.py: EXAMPLE K.
Where lady K finds out that every gentleman hides his rougher corners in his derivative.
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l.py: EXAMPLE L.
Where two formulas give the same results and so math triumphs once again.
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m.py: EXAMPLE M.
Where we discover that, unlike elephants, Matérn processes prefer to forget after less than one data step.
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n.py: EXAMPLE N.
Where we wonder how much a derivative is allowed to do her own business compared to her mistress.
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o.py: EXAMPLE O.
Where mister N’s enquiry is repeated by different means.
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p.py: EXAMPLE P.
Where an overwhelming amount of datapoints is revelead to be nothing more than a pile of ten eigenfunctions.
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pdf1.py: Fit of parton distributions functions (PDFs)
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pdf2.py: Fit of parton distributions functions (PDFs)
The difference from pdf1.py is that we define the transformation on processes instead of on their finite realizations
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pdf3.py: Fit of parton distributions functions (PDFs)
Like pdf2, but with correct integral constraints and naming this time
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pdf4.py: Fit of parton distribution functions (PDFs)
Like pdf3, but with hyperparameters
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pdf5.py: Fit of parton distributions functions (PDFs)
Like pdf3, but with nonlinear data
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pdf6.py: Fit of parton distributions functions (PDFs)
Like pdf5, but with uncertainties on M and M2
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pdf7.py: Fit of parton distributions functions (PDFs)
Like pdf6, but with hyperparameters
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pdf8.py: Fit of parton distributions functions (PDFs)
Like pdf7, but with more realistic PDFs
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q.py: EXAMPLE Q.
Where we extend a pattern of waves in space, but do not dare look too far from our data.
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r.py: EXAMPLE R.
Where we decide to introduce a strong anisotropy despite evidence of its absence.
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s.py: EXAMPLE S.
Where different coordinates unite together under a single field name.
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t.py: EXAMPLE T.
Where we pretend to discover that two series of events were in fact one the delayed and imperfect copy of the other.
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u.py: EXAMPLE U.
Where we infer the temporal scale of a process assuming another process is correlated with its derivative.
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v.py: EXAMPLE V.
Where we go on an expedition to survey the many and wondrous kernels that inhabit our software.
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w.py: EXAMPLE W.
Where, with limited success, we recover the identity of two mixed functions knowing their speed of variation.
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x.py: EXAMPLE X.
Where the derivatives of an interesting correlation function are put to harsh a trial.
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y.py: EXAMPLE Y.
Where a Zeta kernel forces some random samples to have zero mean.
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z.py: EXAMPLE Z.
Where we sail in an infinite dimensional space to sum two numbers.
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