Uses of Interface
dev.nm.algebra.linear.matrix.doubles.factorization.eigen.Spectrum
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Uses of Spectrum in dev.nm.algebra.linear.matrix.doubles.factorization.eigen
Classes in dev.nm.algebra.linear.matrix.doubles.factorization.eigen that implement Spectrum Modifier and Type Class Description class
CharacteristicPolynomial
The characteristic polynomial of a square matrix is the functionclass
Eigen
Given a square matrix A, an eigenvalue λ and its associated eigenvector v are defined by Av = λv. -
Uses of Spectrum in dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3
Classes in dev.nm.algebra.linear.matrix.doubles.factorization.eigen.mr3 that implement Spectrum Modifier and Type Class Description class
MR3
Computes eigenvalues and eigenvectors of a given symmetric tridiagonal matrix T using "Algorithm of Multiple Relatively Robust Representations" (MRRR).class
SymmetricEigenByMR3
Computes eigen decomposition for a symmetric matrix using "Algorithm of Multiple Relatively Robust Representations" (MRRR).class
SymmetricEigenFor2x2Matrix
Computes the eigen decomposition of a 2-by-2 symmetric matrix in the following form by symmetric QR algorithm. -
Uses of Spectrum in dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr
Classes in dev.nm.algebra.linear.matrix.doubles.factorization.eigen.qr that implement Spectrum Modifier and Type Class Description class
QRAlgorithm
The QR algorithm is an eigenvalue algorithm by computing the real Schur canonical form of a matrix.class
SymmetricQRAlgorithm
The symmetric QR algorithm is an eigenvalue algorithm by computing the real Schur canonical form of a square, symmetric matrix.
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