How To Install mcv-int64 on Kali Linux

In this guide, we’ll discuss How To Install mcv-int64 on Kali Linux. Also, we will demonstrate how to uninstall and update mcv-int64.

One-liner install command

For those in a hurry, here's a one-line installation command:

sudo apt-get update && sudo apt -y install scotch

But if you are interested in the detailed steps with descriptions, the following information is for you.

What is mcv-int64 and what are the ways to install it?

Before beginning this tutorial, you will need access to a server or computer running Kali Linux. This guide was written specifically with a server running Kali Linux in mind, although it should also work on older, supported versions of the operating system.

Also, make sure you are running a regular, non-root user with sudo privileges configured on your server. When you have an account available, log in as your non-root user to begin.

There are several ways to install mcv-int64 on Kali Linux. You can use (links are clickable):

In the following sections, we will describe each method in detail. You can choose one of them or refer to the recommended one.

Install mcv-int64 using apt-get

First, update apt database with apt-get using the following command.

sudo apt-get update

After updating apt-get database, You can install mcv-int64 using apt by running the following command:

sudo apt -y install scotch

Install mcv-int64 using apt

Because mcv-int64 is available in Kali Linux’s default repositories, it is possible to install it from these repositories using the apt packaging system.

To begin, update apt database with apt using the following command.

sudo apt update

After updating apt database, You can install mcv-int64 using apt by running the following command:

sudo apt -y install scotch

Install mcv-int64 using aptitude

If you want to follow this method, you might need to install aptitude first since aptitude is usually not installed by default on Kali Linux. Update apt database with aptitude using the following command.

sudo aptitude update

After updating aptitude database, You can install mcv-int64 by running the following command:

sudo aptitude -y install scotch

How to upgrade (update) a single package mcv-int64 using apt-get?

First, you will need to update packages index. Run update command as usual:

sudo apt-get update

Next, to upgrade only the mcv-int64, e.g. single package, you should use the following format with the apt-get command/apt command:

sudo apt-get --only-upgrade install scotch

Note that this command will not install any new packages! If you wish to install the package if it doesn't exist you may leave out --only-upgrade part.

How To Uninstall mcv-int64 from Kali Linux

To uninstall only the mcv-int64 package you can execute the following command:

sudo apt-get remove scotch

Uninstall mcv-int64 and all its dependencies

To uninstall mcv-int64 and its dependencies that are no longer needed by Kali Linux, you can use the command below:

sudo apt-get -y autoremove scotch

Remove mcv-int64 with all configurations and data

To remove mcv-int64 configuration and data from your system you can run the following purge command:

sudo apt-get -y purge scotch

Remove mcv-int64 completely (configurations, data and all of its dependencies)

And lastly, you can run the next command to remove absolutely everything related to mcv-int64 package, e.g.: configurations, data and all of its dependencies. Just use this command:

sudo apt-get -y autoremove --purge scotch

Extra info and code examples

Its purpose is to apply graph theory, with a divide and conquer approach, to scientific computing problems such as graph and mesh partitioning, static mapping, and sparse matrix ordering, in application domains ranging from structural mechanics to operating systems or bio-chemistry. The SCOTCH distribution is a set of programs and libraries which implement the static mapping and sparse matrix reordering algorithms developed within the SCOTCH project. SCOTCH has many interesting features: o Its capabilities can be used through a set of stand-alone programs as well as through the libSCOTCH library, which offers both C and Fortran interfaces. o It provides algorithms to partition graph structures, as well as mesh structures defined as node-element bipartite graphs and which can also represent hypergraphs. o It can map any weighted source graph onto any weighted target graph. The source and target graphs may have any topology, and their vertices and edges may be weighted. Moreover, both source and target graphs may be disconnected. This feature allows for the mapping of programs onto disconnected subparts of a parallel architecture made up of heterogeneous processors and communication links. o It computes amalgamated block orderings of sparse matrices, for efficient solving using BLAS routines. o Its running time is linear in the number of edges of the source graph, and logarithmic in the number of vertices of the target graph for mapping computations. o It can handle indifferently graph and mesh data structures created within C or Fortran programs, with array indices starting from 0 or 1. o It offers extended support for adaptive graphs and meshes through the handling of disjoint edge arrays. o It is dynamically parametrizable thanks to strategy strings that are interpreted at run-time. o It uses system memory efficiently, to process large graphs and meshes without incurring out-of-memory faults; o It is highly modular and documented. Since it has been released under the CeCILL-C free/libre software license, it can be used as a testbed for the easy and quick development and testing of new partitioning and ordering methods. o It can be easily interfaced to other programs. The programs comprising the SCOTCH project have been designed to run in command-line mode without any interactive prompting, so that they can be called easily from other programs by means of system() or popen() calls, or piped together on a single command line. Moreover, vertex labeling capabilities allow for easy renumbering of vertices. o It provides many tools to build, check, and display graphs, meshes and matrix patterns. o It is written in C and uses the POSIX interface, which makes it highly portable. PT-SCOTCH uses the MPI interface, and optionally the POSIX threads.


You now have a full guide on how to install mcv-int64 using apt, apt-get and aptitude tools. Also, we showed how to update as a single package and different ways to uninstall the mcv-int64 from Kali Linux.

See also:

How To Install mcv-int64 on CentOS 8

How To Install mcv-int64 on Ubuntu 22.04

How To Install mcv-int64 on Ubuntu 21.04

How To Install mcv-int64 on Kali Linux

How To Install mcv-int64 on Debian 11

How To Install mcv-int64 on Fedora 34