Paket: libtss2-doc (4.1.3-1.1)

[ Kaynak: tpm2-tss  ]

library for large scale eigenvalue problems (development files)

Spectra stands for Sparse Eigenvalue Computation Toolkit as a Redesigned ARPACK. It is a C++ library for large scale eigenvalue problems, built on top of Eigen, an open source linear algebra library.

Spectra is implemented as a header-only C++ library, whose only dependency, Eigen, is also header-only. Hence Spectra can be easily embedded in C++ projects that require calculating eigenvalues of large matrices.

Spectra is designed to calculate a specified number of eigenvalues of a large square matrix. Usually this number of eigenvalues is much smaller than the size of the matrix, so that only a few eigenvalues and eigenvectors are computed, which in general is more efficient than calculating the whole spectral decomposition. Users can choose eigenvalue selection rules to pick the eigenvalues of interest, such as the largest k eigenvalues, or eigenvalues with largest real parts, etc.

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