How To Install "r-cran-polycub" Package on Ubuntu
Quick Install Instructions of r-cran-polycub 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 r-cran-polycub
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.
GNU R Cubature over Polygonal Domains
PolyCub is a GNU R package providing methods for cubature (numerical integration) over polygonal domains. Currently, four cubature methods are implemented: the two-dimensional midpoint rule (a simple wrapper around spatstat::as.im.function), the product Gauss cubature proposed by Sommariva and Vianello (2007), an adaptive cubature for isotropic functions via line integrate() along the boundary, and quasi-exact methods specific to the integration of the bivariate Gaussian density over polygonal and circular domains. For cubature over simple hypercubes, the packages cubature and R2Cuba are more appropriate. GNU R Cubature over Polygonal Domains
PolyCub is a GNU R package providing methods for cubature (numerical integration) over polygonal domains. Currently, four cubature methods are implemented: the two-dimensional midpoint rule (a simple wrapper around spatstat::as.im.function), the product Gauss cubature proposed by Sommariva and Vianello (2007), an adaptive cubature for isotropic functions via line integrate() along the boundary, and quasi-exact methods specific to the integration of the bivariate Gaussian density over polygonal and circular domains. For cubature over simple hypercubes, the packages cubature and R2Cuba are more appropriate.
PolyCub is a GNU R package providing methods for cubature (numerical integration) over polygonal domains. Currently, four cubature methods are implemented: the two-dimensional midpoint rule (a simple wrapper around spatstat::as.im.function), the product Gauss cubature proposed by Sommariva and Vianello (2007), an adaptive cubature for isotropic functions via line integrate() along the boundary, and quasi-exact methods specific to the integration of the bivariate Gaussian density over polygonal and circular domains. For cubature over simple hypercubes, the packages cubature and R2Cuba are more appropriate. GNU R Cubature over Polygonal Domains
PolyCub is a GNU R package providing methods for cubature (numerical integration) over polygonal domains. Currently, four cubature methods are implemented: the two-dimensional midpoint rule (a simple wrapper around spatstat::as.im.function), the product Gauss cubature proposed by Sommariva and Vianello (2007), an adaptive cubature for isotropic functions via line integrate() along the boundary, and quasi-exact methods specific to the integration of the bivariate Gaussian density over polygonal and circular domains. For cubature over simple hypercubes, the packages cubature and R2Cuba are more appropriate.
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 r-cran-polycub
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.