Introduces approximate block α-circulant preconditioners via Chebyshev semi-iteration or saddle-point transformation for all-at-once diffusion covariance operators, achieving robust outer iteration performance in numerical tests.
Studies in the history of pro bability and statistics XLIX: On the Mat´ ern correlation family
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Block Alpha-Circulant Preconditioners for All-at-Once Diffusion-Based Covariance Operators
Introduces approximate block α-circulant preconditioners via Chebyshev semi-iteration or saddle-point transformation for all-at-once diffusion covariance operators, achieving robust outer iteration performance in numerical tests.