Extended Krylov subspace for parameter dependent systems
Applied Numerical Mathematics
Computing $f(A)b$ via Least Squares Polynomial Approximations
SIAM Journal on Scientific Computing
Journal of Computational and Applied Mathematics
Matrix Probing and its Conditioning
SIAM Journal on Numerical Analysis
Computation of matrix functions with deflated restarting
Journal of Computational and Applied Mathematics
Iterative numerical methods for sampling from high dimensional Gaussian distributions
Statistics and Computing
Parameter estimation in high dimensional Gaussian distributions
Statistics and Computing
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New methods are proposed for the numerical evaluation of $f(\mathbf{A})$ or $f(\mathbf{A}) b$, where $f(\mathbf{A})$ is a function such as $\mathbf{A}^{1/2}$ or $\log (\mathbf{A})$ with singularities in $(-\infty,0]$ and $\mathbf{A}$ is a matrix with eigenvalues on or near $(0,\infty)$. The methods are based on combining contour integrals evaluated by the periodic trapezoid rule with conformal maps involving Jacobi elliptic functions. The convergence is geometric, so that the computation of $f(\mathbf{A})b$ is typically reduced to one or two dozen linear system solves, which can be carried out in parallel.