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pcg  

Preconditioned Conjugate Gradient Algorithm for solving Ax=b
View on CRAN: Click here


Download and install pcg package within the R console
Install from CRAN:
install.packages("pcg")

Install from Github:
library("remotes")
install_github("cran/pcg")

Install by package version:
library("remotes")
install_version("pcg", "1.1")



Attach the package and use:
library("pcg")
Maintained by
B N Mandal
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-18
Latest Update: 2014-04-03
Description:
The package solves linear system of equations Ax=b by using Preconditioned Conjugate Gradient Algorithm where A is real symmetric positive definite matrix. A suitable preconditioner matrix may be provided by user. This can also be used to minimize quadratic function (x'Ax)/2-bx for unknown x.
How to cite:
B N Mandal (2014). pcg: Preconditioned Conjugate Gradient Algorithm for solving Ax=b. R package version 1.1, https://cran.r-project.org/web/packages/pcg. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2014-02-18 08:22)
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View pcg citation profile
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Complete documentation for pcg
Functions, R codes and Examples using the pcg R package
Some associated functions: pcg . 
Some associated R codes: pcg.R .  Full pcg package functions and examples
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