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).