MatrixPolynomials.jl
The main purpose of this package is to provide polynomial approximations to $f(\mat{A})$, i.e. the function of a matrix $\mat{A}$ for which the field-of-values $W(\mat{A}) \subset \Complex$ (or equivalently the distribution of eigenvalues) is known a priori. If this is the case, a polynomial approximation $p(z) \approx f(z)$ for $z \in W(\mat{A})$ can be constructed, and this can subsequently be used, substituting $\mat{A}$ for $z$. This is in contrast to Krylov-based methods, where the matrix polynomials are generated on-the-fly, without any prior knowledge of $W(\mat{A})$ (even though knowledge can be used to speed up the convergence of the Krylov iterations).
Index
MatrixPolynomials.FastLeja
MatrixPolynomials.FuncV
MatrixPolynomials.FuncV
MatrixPolynomials.Leja
MatrixPolynomials.Leja
MatrixPolynomials.Line
MatrixPolynomials.NewtonMatrixPolynomial
MatrixPolynomials.NewtonMatrixPolynomialDerivative
MatrixPolynomials.NewtonPolynomial
MatrixPolynomials.NewtonPolynomial
MatrixPolynomials.Rectangle
MatrixPolynomials.Shape
MatrixPolynomials.TaylorSeries
MatrixPolynomials.φₖResidualEstimator
Base.:*
Base.:*
Base.range
Base.range
Base.union
Base.union
LinearAlgebra.mul!
LinearAlgebra.mul!
MatrixPolynomials.closure
MatrixPolynomials.div_diff_table_basis_change
MatrixPolynomials.fast_leja!
MatrixPolynomials.hermitian_spectral_range
MatrixPolynomials.leja!
MatrixPolynomials.min_degree
MatrixPolynomials.points
MatrixPolynomials.propagate_div_diff
MatrixPolynomials.propagate_div_diff_sin_cos
MatrixPolynomials.spectral_range
MatrixPolynomials.std_div_diff
MatrixPolynomials.taylor_series
MatrixPolynomials.ts_div_diff_table
MatrixPolynomials.φ
MatrixPolynomials.φ₁
MatrixPolynomials.φₖ_div_diff_basis_change
MatrixPolynomials.⏃
Statistics.mean
Statistics.mean