Mercurial > hg > octave-avbm
changeset 6750:2de995da10b8
[project @ 2007-06-24 21:37:08 by dbateman]
author | dbateman |
---|---|
date | Sun, 24 Jun 2007 21:37:08 +0000 |
parents | f7fdea19da88 |
children | c0370a971fef |
files | doc/interpreter/interp.txi doc/interpreter/sparse.txi |
diffstat | 2 files changed, 1 insertions(+), 7 deletions(-) [+] |
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--- a/doc/interpreter/interp.txi +++ b/doc/interpreter/interp.txi @@ -64,12 +64,6 @@ @end float @end ifnotinfo -This means that in general the 'spline' method results in smooth -results. If the function to be interpolated is in fact smooth, then -'spline' will give excellent results. However, if the function to be -evaluated is in some manner discontinuous, then 'cubic' or 'pchip' -interpolation might give better results. - Fourier interpolation, is a resampling technique where a signal is converted to the frequency domain, padded with zeros and then reconverted to the time domain.
--- a/doc/interpreter/sparse.txi +++ b/doc/interpreter/sparse.txi @@ -604,7 +604,7 @@ To correct this behavior would mean that zero elements with a negative sign-bit would need to be stored in the matrix to ensure that their sign-bit was respected. This is not done at this time, for reasons of -efficient, and so the user is warned that calculations where the sign-bit +efficiency, and so the user is warned that calculations where the sign-bit of zero is important must not be done using sparse matrices. In general any function or operator used on a sparse matrix will