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2021-10-26math: Replace RMD160 checksums with BLAKE2s checksumsnia1-2/+2
All checksums have been double-checked against existing RMD160 and SHA512 hashes
2021-10-07math: Remove SHA1 hashes for distfilesnia1-2/+1
2015-11-03Add SHA512 digests for distfiles for math categoryagc1-1/+2
Problems found locating distfiles: Package dfftpack: missing distfile dfftpack-20001209.tar.gz Package eispack: missing distfile eispack-20001130.tar.gz Package fftpack: missing distfile fftpack-20001130.tar.gz Package linpack: missing distfile linpack-20010510.tar.gz Package minpack: missing distfile minpack-20001130.tar.gz Package odepack: missing distfile odepack-20001130.tar.gz Package py-networkx: missing distfile networkx-1.10.tar.gz Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz Package quadpack: missing distfile quadpack-20001130.tar.gz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2015-03-15Set MAINTAINER to pkgsrc-users.hiramatsu1-2/+2
2012-09-11"user-destdir" is default these daysasau1-3/+1
2012-03-01 Honor CFLAGS/CXXFLAGS and avoid to override the optimizer levels.obache2-5/+17
2012-03-01Add comment.obache2-3/+5
2011-09-14Remove stupid test for Sun make from configure.hans2-1/+16
2010-05-19Import TinySVM-0.09 as math/TinySVM.obache6-0/+74
TinySVM is an implementation of Support Vector Machines (SVMs) [Vapnik 95], [Vapnik 98] for the problem of pattern recognition. Support Vector Machines is a new generation learning algorithms based on recent advances in statistical learning theory, and applied to large number of real-world applications, such as text categorization, hand-written character recognition.