Age | Commit message (Collapse) | Author | Files | Lines | |
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2015-11-03 | Add SHA512 digests for distfiles for math category | agc | 1 | -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. | |||||
2013-12-06 | Fix build. | joerg | 2 | -1/+15 | |
2013-11-29 | Fix extraction of rpath options from Fortran linker. | joerg | 3 | -1/+39 | |
2013-11-14 | Import IPOPT version 3.11.5 as math/ipopt | asau | 5 | -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. |