[SciPy-user] [SciPy-dev] scipy.linalg.eig() returns transposed eigenvector matrix
dickrp at wckn.com
Tue Nov 15 17:39:04 CST 2005
>> If you need to decide which one to change, identify the common case. Is it
>> more common to access all dimensions of one eigenvector or access one
>> dimension of many eigenvectors? The common case should be the easiest to
>> express, i.e., if one wants the first eigenvector, should
>> la.eig(m)[:, 0]
>> be used?
> I am not convinced that getting eigenvectors one-by-one is the most common
> case of la.eig usage. Sometimes one needs to operate with the whole matrix
> of eigenvectors and then the mathematically "correct" representation of
> the eigenmatrix would be more convinient.
Then let's go with the eig() convention (an eigenvector in each column). It's
not very dangerous because the function names are different. Anybody
implementing a backward-compatible scipy.Numeric will just need to transpose
the results of eig() in an eigenvectors() wrapper. The only real problem now
is the conflict between the book and the code.
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