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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
2020-10-12math/blas, math/lapack: Install interchangeable BLAS systembacon2-6/+6
Install the new interchangeable BLAS system created by Thomas Orgis, currently supporting Netlib BLAS/LAPACK, OpenBLAS, cblas, lapacke, and Apple's Accelerate.framework. This system allows the user to select any BLAS implementation without modifying packages or using package options, by setting PKGSRC_BLAS_TYPES in mk.conf. See mk/blas.buildlink3.mk for details. This commit should not alter behavior of existing packages as the system defaults to Netlib BLAS/LAPACK, which until now has been the only supported implementation. Details: Add new mk/blas.buildlink3.mk for inclusion in dependent packages Install compatible Netlib math/blas and math/lapack packages Update math/blas and math/lapack MAINTAINER approved by adam@ OpenBLAS, cblas, and lapacke will follow in separate commits Update direct dependents to use mk/blas.buildlink3.mk Perform recursive revbump
2018-07-18Mark packages that require C++03 (or the GNU variants) if they fail withjoerg1-2/+2
C++14 default language.
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.
2013-12-06Fix build.joerg2-1/+15
2013-11-29Fix extraction of rpath options from Fortran linker.joerg3-1/+39
2013-11-14Import IPOPT version 3.11.5 as math/ipoptasau5-0/+113
Ipopt (Interior Point OPTimizer, pronounced eye-pea-Opt) is a software package for large-scale nonlinear optimization. It is designed to find (local) solutions of mathematical optimization problems of the form min_{x in R^n} f(x) s.t. g_L <= g(x) <= g_U x_L <= x <= x_U where f(x): R^n --> R is the objective function, and g(x): R^n --> R^m are the constraint functions. The vectors g_L and g_U denote the lower and upper bounds on the constraints, and the vectors x_L and x_U are the bounds on the variables x. The functions f(x) and g(x) can be nonlinear and nonconvex, but should be twice continuously differentiable. Note that equality constraints can be formulated in the above formulation by setting the corresponding components of g_L and g_U to the same value. Ipopt is part of the COIN-OR Initiative.