libmumps-64pord-ptscotch-5.5
Direct linear systems solver (64 bit) - PTScotch-version shared libraries
MUMPS implements a direct solver for large sparse linear systems, with a
particular focus on symmetric positive definite matrices. It can
operate on distributed matrices e.g. over a cluster. It has Fortran and
C interfaces, and can interface with ordering tools such as Scotch.
libmumps-64pord-scotch-5.5
Direct linear systems solver (64 bit) - Scotch-version shared libraries
MUMPS implements a direct solver for large sparse linear systems, with a
particular focus on symmetric positive definite matrices. It can
operate on distributed matrices e.g. over a cluster. It has Fortran and
C interfaces, and can interface with ordering tools such as Scotch.
libmumps-64pord-seq-5.5
Direct linear systems solver (64 bit) - non-parallel shared libraries
MUMPS implements a direct solver for large sparse linear systems, with a
particular focus on symmetric positive definite matrices. It can
operate on distributed matrices e.g. over a cluster. It has Fortran and
C interfaces, and can interface with ordering tools such as Scotch.
libmumps-scotch-5.5
Direct linear systems solver - Scotch-version shared libraries
MUMPS implements a direct solver for large sparse linear systems, with a
particular focus on symmetric positive definite matrices. It can
operate on distributed matrices e.g. over a cluster. It has Fortran and
C interfaces, and can interface with ordering tools such as Scotch.
bumps-private-libs
data fitting and Bayesian uncertainty modeling for inverse problems (libraries)
Bumps is a set of routines for curve fitting and uncertainty analysis
from a Bayesian perspective. In addition to traditional optimizers
which search for the best minimum they can find in the search space,
bumps provides uncertainty analysis which explores all viable minima
and finds confidence intervals on the parameters based on uncertainty
in the measured values. Bumps has been used for systems of up to 100
parameters with tight constraints on the parameters. Full uncertainty
analysis requires hundreds of thousands of function evaluations,
which is only feasible for cheap functions, systems with many
processors, or lots of patience.
pd-deken
Externals wrangler for Pure Data
deken is a simple and easy to use package manager for Pure Data (Pd).