ISO-690 (author-date, English)

MAYER, Viktoria and GANSTERER, Wilfried N., 2025. Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods. In: . 16 November 2025.

Elsevier - Harvard (with titles)

Mayer, V., Gansterer, W.N., 2025. Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods, in: . https://doi.org/10.1145/3731599.3767542

American Psychological Association 7th edition

Mayer, V., & Gansterer, W. N. (2025, November 16). Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods. https://doi.org/10.1145/3731599.3767542

Springer - Basic (author-date)

Mayer V, Gansterer WN (2025) Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods

Juristische Zitierweise (Stüber) (Deutsch)

Mayer, Viktoria/ Gansterer, Wilfried N., Numerical Properties and Scalability of s-Step Preconditioned Conjugate Gradient Methods, 2025, .

Warning: These citations may not always be 100% accurate.