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Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations
Research article (Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2021) · cited 13× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations. Retrieved May 24, 2026, from https://4ort.xyz/entity/meeting-the-real-time-challenges-of-ground-based-telescopes-using-low-rank-matrix-computations
MLA“Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/meeting-the-real-time-challenges-of-ground-based-telescopes-using-low-rank-matrix-computations.
BibTeX@misc{4ortxyz_meeting-the-real-time-challenges-of-ground-based-telescopes-using-low-rank-matrix-computations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations}}, year = {2026}, url = {https://4ort.xyz/entity/meeting-the-real-time-challenges-of-ground-based-telescopes-using-low-rank-matrix-computations}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Meeting the real-time challenges of ground-based telescopes using low-rank matrix computations — https://4ort.xyz/entity/meeting-the-real-time-challenges-of-ground-based-telescopes-using-low-rank-matrix-computations (retrieved 2026-05-24)
