eigeninv: Generates (dense) matrices that have a given set of eigenvalues

Solves the “inverse eigenvalue problem” which is to generate a real-valued matrix that has the specified real eigenvalue spectrum. It can generate infinitely many dense matrices, symmetric or asymmetric, with the given set of eigenvalues. Algorithm can also generate stochastic and doubly stochastic matrices.

Version: 2011.8-1
Depends: R (≥ 2.10.1)
Published: 2012-10-29
Author: Ravi Varadhan, Johns Hopkins University
Maintainer: Ravi Varadhan <rvaradhan at jhmi.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html
NeedsCompilation: no
Materials: NEWS
In views: NumericalMathematics
CRAN checks: eigeninv results


Reference manual: eigeninv.pdf
Package source: eigeninv_2011.8-1.tar.gz
Windows binaries: r-devel: eigeninv_2011.8-1.zip, r-release: eigeninv_2011.8-1.zip, r-oldrel: eigeninv_2011.8-1.zip
OS X Snow Leopard binaries: r-release: eigeninv_2011.8-1.tgz, r-oldrel: eigeninv_2011.8-1.tgz
OS X Mavericks binaries: r-release: eigeninv_2011.8-1.tgz