added norm examples to linalg.rst docs
better comments to example, use np.array instead of matrix
converted linalg.rst to use mat except for schur factorization, explained numpy.linalg vs scipi.alg, examplained numpy.ndarray vs numpy.matrix
ENH: stats.scoreatpercentile

stats.scoreatpercentile now accepts sequences of percentiles and axis
parameter. Function adapted from NumPy's percentile function.
DOC: merge wiki edits for ndimage.filters by hand.

These functions use misc.docfiller, so shouldn't have been edited in the wiki.
I marked all these functions as unimportant there now.
DOC: merge wiki edits, cluster, constants and fftpack modules.
DOC: merge wiki edits, interpolate module.
DOC: merge wiki edits, lib, io, misc modules and main docstring.
DOC: merge wiki edits, linalg module.
DOC: merge wiki edits, ndimage module.
DOC: merge wiki edits, optimize module.
DOC: merge wiki edits, signal module.
DOC: merge wiki edits, spatial module.
DOC: merge wiki edits, stats module.
DOC: merge wiki edits, sparse module.
MAINT: address review comments of Josef.
Added function to determine Nyquist plot

Code based on the lti.bode() function.
n=10000 decided through trial and error. Might be somewhat high for
simple systems.
BUG: fix a few fortran ABI bugs on Mac OS X + MKL.

Consolidate Accelerate/etc. detection code into one place.
ENH: interpolate: refactor interp1d to use the same axis handling mechanism as the polyint interpolators
improved nyquist() function

added testing and changed return values as suggested by rgommers and
ewmoore