## limSolve: Solving Linear Inverse Models

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.

 Version: 1.5.6 Depends: R (≥ 2.10) Imports: quadprog, lpSolve, MASS Published: 2019-11-14 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 License: GPL-2 | GPL-3 [expanded from: GPL] Copyright: inst/COPYRIGHTS limSolve copyright details NeedsCompilation: yes Citation: limSolve citation info Materials: ChangeLog In views: Optimization CRAN checks: limSolve results

#### Downloads:

 Reference manual: limSolve.pdf Vignettes: Solving Linear Inverse Models in R Sampling Linear Inverse Models in R Package source: limSolve_1.5.6.tar.gz Windows binaries: r-devel: limSolve_1.5.6.zip, r-devel-gcc8: limSolve_1.5.6.zip, r-release: limSolve_1.5.6.zip, r-oldrel: limSolve_1.5.6.zip OS X binaries: r-release: limSolve_1.5.6.tgz, r-oldrel: limSolve_1.5.6.tgz Old sources: limSolve archive

#### Reverse dependencies:

 Reverse depends: AMIAS, BCE, LIM, MLCIRTwithin, MultiLCIRT, ragtop, treedater Reverse imports: ccrs, cds, EAinference, EMMAgeo, enaR, evclust, FastSF, FindIt, FlowCAr, fuzzyreg, geospt, geosptdb, gpDDE, hgutils, IntegratedMRF, MPTmultiverse, networkTomography, PACLasso, restlos, ScorePlus, sptemExp Reverse suggests: CHNOSZ, valuer

#### Linking:

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