How To Install "libtrilinos-shylu12" Package on Ubuntu
Quick Install Instructions of libtrilinos-shylu12 on Ubuntu Server. It’s Super Easy! simply click on Copy button to copy the command and paste into your command line terminal using built-in APT package manager.
See below for quick step by step instructions of SSH commands, Copy/Paste to avoid miss-spelling or accidently installing a different package.
See below for quick step by step instructions of SSH commands, Copy/Paste to avoid miss-spelling or accidently installing a different package.
Quick Install Steps:
Step 1
sudo apt-get update -y
Step 2
sudo apt-get install -y libtrilinos-shylu12
Step 3
Check the system logs to confirm that there are no related errors.
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Execute the commands above step by step.
You can simply hit the copy button to copy the command and paste into the command line interface.
Note: -y flag means to assume yes and silently install, without asking you questions in most cases.
Note: -y flag means to assume yes and silently install, without asking you questions in most cases.
solving sparse linear systems - runtime files
ShyLU is a package for solving sparse linear systems. It can be used either as a preconditioner, or as a solver. Currently, we recommend using it as an Ifpack preconditioner. ShyLU uses a hybrid direct/iterative approach based on Schur complements. The goal is to provide robustness similar to sparse direct solvers, but memory usage more similar to preconditioned iterative solvers. ShyLU was designed as a node-level solver. It can use both MPI and threads in several ways. ShyLU was designed (a) to solve difficult but medium-size problems, and (b) to be used as a subdomain solver or smoother for very large problems within an iterative scheme. It is a purely algebraic method so can be used as a black-box solver. ShyLU has been particularly successful in electrical circuit simulation (Xyce). solving sparse linear systems - runtime files
ShyLU is a package for solving sparse linear systems. It can be used either as a preconditioner, or as a solver. Currently, we recommend using it as an Ifpack preconditioner. ShyLU uses a hybrid direct/iterative approach based on Schur complements. The goal is to provide robustness similar to sparse direct solvers, but memory usage more similar to preconditioned iterative solvers. ShyLU was designed as a node-level solver. It can use both MPI and threads in several ways. ShyLU was designed (a) to solve difficult but medium-size problems, and (b) to be used as a subdomain solver or smoother for very large problems within an iterative scheme. It is a purely algebraic method so can be used as a black-box solver. ShyLU has been particularly successful in electrical circuit simulation (Xyce).
ShyLU is a package for solving sparse linear systems. It can be used either as a preconditioner, or as a solver. Currently, we recommend using it as an Ifpack preconditioner. ShyLU uses a hybrid direct/iterative approach based on Schur complements. The goal is to provide robustness similar to sparse direct solvers, but memory usage more similar to preconditioned iterative solvers. ShyLU was designed as a node-level solver. It can use both MPI and threads in several ways. ShyLU was designed (a) to solve difficult but medium-size problems, and (b) to be used as a subdomain solver or smoother for very large problems within an iterative scheme. It is a purely algebraic method so can be used as a black-box solver. ShyLU has been particularly successful in electrical circuit simulation (Xyce). solving sparse linear systems - runtime files
ShyLU is a package for solving sparse linear systems. It can be used either as a preconditioner, or as a solver. Currently, we recommend using it as an Ifpack preconditioner. ShyLU uses a hybrid direct/iterative approach based on Schur complements. The goal is to provide robustness similar to sparse direct solvers, but memory usage more similar to preconditioned iterative solvers. ShyLU was designed as a node-level solver. It can use both MPI and threads in several ways. ShyLU was designed (a) to solve difficult but medium-size problems, and (b) to be used as a subdomain solver or smoother for very large problems within an iterative scheme. It is a purely algebraic method so can be used as a black-box solver. ShyLU has been particularly successful in electrical circuit simulation (Xyce).
- libc6
- libgcc1
- libopenmpi1.10
- libptscotch-5.1
- libtrilinos-amesos12
- libtrilinos-amesos2-12
- libtrilinos-aztecoo12
- libtrilinos-epetra12
- libtrilinos-epetraext12
- libtrilinos-ifpack12
- libtrilinos-isorropia12
- libtrilinos-kokkos12
- libtrilinos-teuchos12
- libtrilinos-tpetra12
- libtrilinos-xpetra12
- libtrilinos-zoltan12
- libtrilinos-zoltan2-12
Detailed Instructions:
Step 1
Run update command to update package repositories and get latest package information.
sudo apt-get update -y
Step 2
Run the install command with -y flag to quickly install the packages and dependencies.
sudo apt-get install -y libtrilinos-shylu12
Step 3
Check the system logs to confirm that there are no related errors.
You can use
ZoomAdmin
to check the logs, manager servers, host multiple websites and apps on your servers and more. The apps run in docker containers, to learn more
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.
see ZoomAdmin Features for list of features and demo videos. And you can start with the Free Plan.