Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations | Paper Citation Record

Observation f5ce7fcb-7b4e-431b-a9ae-bbc723d3717f · outbound

This paper cites Birkh¨ auser, Basel, Switzerland (2012).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Birkh¨ auser, Basel, Switzerland (2012)

Reference 1

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 2

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This paper cites Acta Metall.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Acta Metall

Reference 3

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 4

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This paper cites Courier Corporation, North Chelmsford, MA (2007).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Courier Corporation, North Chelmsford, MA (2007)

Reference 5

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This paper cites IEEE Trans.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations IEEE Trans

Reference 6

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 7

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This paper cites arXiv preprint arXiv:2410.17091, 24 pages (2024).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations arXiv preprint arXiv:2410.17091, 24 pages (2024)

Reference 8

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This paper cites BIT 62, 1149–1174 (2022).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations BIT 62, 1149–1174 (2022)

Reference 9

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This paper cites In: Proceedings of the Forty-First Annual ACM Symposium on Theory of Computing , pp.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations In: Proceedings of the Forty-First Annual ACM Symposium on Theory of Computing , pp

Reference 10

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This paper cites Czech Math.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Czech Math

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:44:28.405012Z

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Observation dac1b7d3-bd3e-42fd-81f2-fba3163f6e0a · outbound

This paper cites Springer In- ternational Publishing, Cham, Switzerland (2016).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Springer In- ternational Publishing, Cham, Switzerland (2016)

Reference 12

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Observation 32482ad1-485b-4b04-b0e3-f5f645973520 · outbound

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 13

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This paper cites part 1: Dirichlet boundary conditions.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations part 1: Dirichlet boundary conditions

Reference 14

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This paper cites IEEE Trans.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations IEEE Trans

Reference 15

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 16

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This paper cites GAMM-Mitt.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations GAMM-Mitt

Reference 17

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This paper cites Springer, Berlin, Heidelberg (1993).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Springer, Berlin, Heidelberg (1993)

Reference 18

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This paper cites SIAM Rev.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations SIAM Rev

Reference 19

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This paper cites Springer Science & Business Media, London, UK (2012).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Springer Science & Business Media, London, UK (2012)

Reference 20

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Observation 668b92d1-c27c-40ef-8b3b-6ff1c0f8c106 · outbound

This paper cites Acta Numer.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Acta Numer

Reference 21

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This paper cites Maple Trans.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Maple Trans

Reference 22

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Observation d7eb357f-46eb-41c9-8c7d-52a51767d5b9 · outbound

This paper cites BMC Bioinformatics 17, 1–13 (2016).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations BMC Bioinformatics 17, 1–13 (2016)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:44:28.262047Z

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 24

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 25

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 26

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 27

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 28

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 29

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This paper cites Oxford University Press, Oxford, UK (1995).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Oxford University Press, Oxford, UK (1995)

Reference 30

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This paper cites SIAM, Philadelphia, PA (2007).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations SIAM, Philadelphia, PA (2007)

Reference 31

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This paper cites BIT 54, 171–188 (2014).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations BIT 54, 171–188 (2014)

Reference 32

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This paper cites Randomized methods for matrix computations.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Randomized methods for matrix computations

Reference 33

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Acta Numer

Reference 34

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations A cta Numer

Reference 35

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 36

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This paper cites Fast and stable randomized low-rank matrix approximation.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Fast and stable randomized low-rank matrix approximation

Reference 37

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Acta Math

Reference 38

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 39

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This paper cites Soft ware package, Technical University of Chemnitz (2000).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Soft ware package, Technical University of Chemnitz (2000)

Reference 40

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 41

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 42

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This paper cites , Ramabhadran, B.: Low-rank matrix factor- ization for deep neural network training with high-dimensi onal output targets.

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations , Ramabhadran, B.: Low-rank matrix factor- ization for deep neural network training with high-dimensi onal output targets

Reference 43

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This paper cites MIT Press, Cambridge, MA (2002).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations MIT Press, Cambridge, MA (2002)

Reference 44

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 45

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations I EEE Trans

Reference 46

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 48

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 49

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This paper cites PloS One 19, e0315,762 (2024).

Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations PloS One 19, e0315,762 (2024)

Reference 50

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Observation bfe2d724-919b-41b4-97d1-949a08a80ce8 · outbound

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

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Observation a02e0a92-319f-419d-b633-120e86a94aec · outbound

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Splitting-based randomized dynamical low-rank approximations for stiff matrix differential equations Unresolved cited work

Reference 59

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