(sometimes we provide two download links because it may happen that the main server / link is overloaded or slow or non responding - the files are identical. Just choose one, save to the Desktop, double click to install)
Disclaimer: to our best knowledge this download comes from a website that is
safe (the last time we checked it, it was), but for your peace of mind (and better safe than sorry) we advise you to run an
antivirus on the downloaded file. Do not rely on MSWindows, Internet explorer, or on the electronic signature: a unsigned download is usually as safe as a signed one, signed just means the author paid Microsoft or Verisign for a stamp, it does not mean verified. Please kindly
report us problems with detail (click here to report), if any.
NMath Matrix is an advanced matrix manipulation library that extends NMath Core to include structured sparse matrix classes (triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded), factorizations (LU, Bunch-Kaufman, and Cholesky), orthogonal decompositions (QR and SVD), and advanced least squares classes (Cholesky, QR, and SVD).
(
.NET structured sparse matrix classes and interface to BLAS and LAPACK.)

NMath Matrix is an advanced matrix manipulation library that extends NMath Core to include structured sparse matrix classes (triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded), factorizations (LU, Bunch-Kaufman, and Cholesky), orthogonal decompositions (QR and SVD), and advanced least squares classes (Cholesky, QR, and SVD).
Fully compliant with the Microsoft Common Language Specification, all NMath routines are callable from any .NET language, including C# and Visual Basic.NET.
For most computations, NMath libraries use proven, highly optimized versions of public domain linear algebra subroutine libraries, such as the BLAS and LAPACK. This gives NMath routines accuracy you can trust, and performance levels comparable to C or Fortran, combined with state of the art, object-oriented interfaces that leverage the full power of the .NET platform.
If you are interested in evaluating NMath Matrix, we offer a free fully-functional trial version, distributed in binary form only for a 14-day evaluation period.
BLAS software and lapack blas software and sparse lapack software and matrix sparse software