Package: piqp
Title: R Interface to Proximal Interior Point Quadratic Programming
        Solver
Version: 0.2.2
Authors@R: c(person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
	   	   email = "naras@stanford.edu"),
             person("Roland", "Schwan", role = c("aut", "cph")),
             person("Yuning", "Jiang", role = c("aut")),
             person("Daniel",  "Kuhn", role = c("aut")),
	     person("Colin N.",  "Jones", role = c("aut")))		   
Description: An embedded proximal interior point quadratic programming solver, which can solve dense and sparse quadratic programs, described in Schwan, Jiang, Kuhn, and Jones (2023) <doi:10.48550/arXiv.2304.00290>. Combining an infeasible interior point method with the proximal method of multipliers, the algorithm can handle ill-conditioned convex quadratic programming problems without the need for linear independence of the constraints. The solver is written in header only 'C++ 14' leveraging the 'Eigen' library for vectorized linear algebra. For small dense problems, vectorized instructions and cache locality can be exploited more efficiently. Allocation free problem updates and re-solves are also provided.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
URL: https://predict-epfl.github.io/piqp-r/
BugReports: https://github.com/PREDICT-EPFL/piqp-r/issues
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, slam, tinytest
VignetteBuilder: knitr
Imports: Matrix, methods, R6, Rcpp
NeedsCompilation: yes
Packaged: 2023-08-11 14:40:37 UTC; naras
Author: Balasubramanian Narasimhan [aut, cre],
  Roland Schwan [aut, cph],
  Yuning Jiang [aut],
  Daniel Kuhn [aut],
  Colin N. Jones [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2023-08-14 09:30:02 UTC
Built: R 4.3.0; x86_64-apple-darwin20; 2023-08-14 11:59:41 UTC; unix
Archs: piqp.so.dSYM
