Search Results for "petsc"

This package provides a low level interface for PETSc and allows combining julia features (such as automatic differentiation) with the PETSc infrastructure and nonlinear solvers.

SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, rotational flow and transport phenomena in coastal waters as driven by waves, tides, buoyancy and wind forces. It provides a general basis for describing wave transformations from deep water to a beach, port or harbour, complex changes to rapidly varied flows, and density driven flows in coastal seas, estuaries, lakes and rivers.

TPLS is a powerful and efficient 3D Direct Numerical Simulation (DNS) flow solver to simulate multiphase flows at unprecedented detail, speed and accuracy. This flow solver has been developed by Lennon Ó Náraigh (Mathematical Sciences, University College Dublin), Prashant Valluri (Engineering, University of Edinburgh), David Scott, Toni Collis and Iain Bethune (EPCC at the University of Edinburgh) and Peter Spelt (Université de Lyon1, Claude Bernard) under the aegis of several HECToR /...

...The implemented algorithm uses Finite Element Method with B-splines as basis functions. Disctretization leads to generalized eigenvalue problem. Program RSchr-5 solves the generalized eigenvalue problem by algorithms implemented in SLEPc amd PETSc libraries. It uses Krylov-Schur algorithm from SLEPc library. The program is implemented in C++. The implementation is based on Message Passing Interface (MPI).

Handles Hexahedral, Tetrahedral, Quadrilateral, and Triangle meshes. Lagrangian, Hierarchic, and Monomial finite elements. Interface to PETSc solvers, adaptive mesh refinement, and extreme portablility.

...Dendro was originally developed by George Biros et al. This is an enhanced version of Dendro (20X over the naive Dendro performance).This version is compatible with petsc-3.x versions.

The Toolkit for Advanced Discriminative Modeling (TADM) is a C++ implementation for estimating the parameters of discriminative models, such as maximum entropy models. It uses the PETSc and TAO toolkits to provide high performance and scalability.