Package: limSolve Version: 2.0.3 Title: Solving Linear Inverse Models Authors@R: c(person("Karline","Soetaert", role = c("aut","cre"), email = "karline.soetaert@nioz.nl"), person("Karel","Van den Meersche", role = "aut"), person("Dick","van Oevelen", role = "aut", email = "dick.vanoevelen@nioz.nl"), person("Charles L.","Lawson", role = "ctb", comment = "file inverse.f"), person("Richard J.","Hanson", role = "ctb", comment = "file inverse.f"), person("Jack","Dongarra", role = "ctb", comment = "files solve.f, inverse.f"), person("Cleve","Moler", role = "ctb", comment = "file solve.f") ) Author: Karline Soetaert [aut, cre], Karel Van den Meersche [aut], Dick van Oevelen [aut], Charles L. Lawson [ctb] (file inverse.f), Richard J. Hanson [ctb] (file inverse.f), Jack Dongarra [ctb] (files solve.f, inverse.f), Cleve Moler [ctb] (file solve.f) Maintainer: Karline Soetaert Depends: R (>= 2.10) Imports: quadprog, lpSolve, MASS Description: Functions that (1) find the minimum/maximum of a linear or quadratic function: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i) subject to equality constraints Ex=f and/or inequality constraints Gx>=h, (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b, (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems. License: GPL Copyright: inst/COPYRIGHTS LazyData: yes NeedsCompilation: yes Suggests: knitr, rmarkdown VignetteBuilder: knitr Repository: https://karlines.r-universe.dev Date/Publication: 2026-06-30 12:59:26 UTC RemoteUrl: https://github.com/karlines/limsolve RemoteRef: HEAD RemoteSha: dcfe7216c89f12dbe34dd77fe6455e69c92073cb Packaged: 2026-06-30 13:12:46 UTC; root