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splitFeas
View on CRAN: Click
here
Download and install splitFeas package within the R console
Install from CRAN:
install.packages("splitFeas")
Install from Github:
library("remotes")
install_github("cran/splitFeas") Install by package version:
library("remotes")
install_version("splitFeas", "0.1.0") Attach the package and use:
library("splitFeas")
Maintained by
Eric C. Chi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-11
Latest Update:
Description:
An implementation of the majorization-minimization (MM) algorithm introduced by
Xu, Chi, Yang, and Lange (2017) for solving multi-set split feasibility problems. In the multi-set split feasibility problem, we seek to find a point x
in the intersection of multiple closed sets and whose image under a mapping also must fall in the intersection of several closed sets.
How to cite:
Eric C. Chi (2018). splitFeas: Multi-Set Split Feasibility. R package version 0.1.0, https://cran.r-project.org/web/packages/splitFeas. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2018-04-11 10:15)
Other packages that cited splitFeas R package
View splitFeas citation profile
Other R packages that splitFeas depends,
imports, suggests or enhances
Functions, R codes and Examples using
the splitFeas R package
Some associated functions: backtrack . ddg . dg . mmqn_step . nmsfp_mm . nmsfp_mmqn . nmsfp_sap . nmsfp_sap_one_step . project_ball . project_cube . project_halfspace . project_square . proximity . qnamm . softmax . split_feasibility . wood_inv_solve .
Some associated R codes: projections.R . Full splitFeas package functions and examples
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