How To Install "libbox-dev" Package on Ubuntu
Quick Install Instructions of libbox-dev 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 libbox-dev
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.
Boxlib: C++ Block-structured finite difference algorithms library
BoxLib is a foundation library of C++ classes that facilitate the development of block-structured finite difference algorithms such as arise in the solution of systems of partial differential equations. BoxLib is particularly useful in designing and building adaptive algorithms. BoxLib contains rich data structures for describing operations which take place on data defined in regions of index space that are unions of non-intersecting rectangles. Because we are interested in unsteady problems where the regions of interest may change in response to an evolving solution, support is provided in BoxLib for efficiently building and destroying the data structures. All constructs in BoxLib are designed to run efficiently in parallel. Boxlib: C++ Block-structured finite difference algorithms library
BoxLib is a foundation library of C++ classes that facilitate the development of block-structured finite difference algorithms such as arise in the solution of systems of partial differential equations. BoxLib is particularly useful in designing and building adaptive algorithms. BoxLib contains rich data structures for describing operations which take place on data defined in regions of index space that are unions of non-intersecting rectangles. Because we are interested in unsteady problems where the regions of interest may change in response to an evolving solution, support is provided in BoxLib for efficiently building and destroying the data structures. All constructs in BoxLib are designed to run efficiently in parallel.
BoxLib is a foundation library of C++ classes that facilitate the development of block-structured finite difference algorithms such as arise in the solution of systems of partial differential equations. BoxLib is particularly useful in designing and building adaptive algorithms. BoxLib contains rich data structures for describing operations which take place on data defined in regions of index space that are unions of non-intersecting rectangles. Because we are interested in unsteady problems where the regions of interest may change in response to an evolving solution, support is provided in BoxLib for efficiently building and destroying the data structures. All constructs in BoxLib are designed to run efficiently in parallel. Boxlib: C++ Block-structured finite difference algorithms library
BoxLib is a foundation library of C++ classes that facilitate the development of block-structured finite difference algorithms such as arise in the solution of systems of partial differential equations. BoxLib is particularly useful in designing and building adaptive algorithms. BoxLib contains rich data structures for describing operations which take place on data defined in regions of index space that are unions of non-intersecting rectangles. Because we are interested in unsteady problems where the regions of interest may change in response to an evolving solution, support is provided in BoxLib for efficiently building and destroying the data structures. All constructs in BoxLib are designed to run efficiently in parallel.
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 libbox-dev
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.