Welcome to the Matrix Portal, a Trilinos-based environment to test and
experiment with (distributed) sparse linear algebra algorithms. The Matrix
Portal allows you to generate or upload linear systems, then analyze and
solve them using preconditioned Krylov accelerators, like CG or GMRES.
The available preconditioners are Jacobi, Gauss-Seidel, symmetric Gauss-Seidel, several incomplete factorizations, polynomial preconditioners, and smoothed aggregation preconditioners.
The only tool you need
to use MatrixPortal is a browser: all computations and performed
on the server, you just specify the problem and the parameters, and wait
for the results. You don't have to install anything, just play with the
button and drop-down menus of these web pages.
An overview of the project is as follows: you define a set of linear
problems and a set of methods to solve them, then you compare the solution
phases, in order to evaluate (using a criterion you specified) the
effectiveness of the solution methods.
MatrixPortal can be used at three different levels. If this is the first time you use MatrixPortal, please select beginner. This will guide you through the project, and suggest you what to do. If you already know a little bit the ideas behind MatrixPortal, select the intermediate level. Otherwise, you can select the expert level and drop all the help text.
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To read more about this project, click here.