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APA4ort.xyz Knowledge Graph. (2026). SVD-Based Algorithms for the Best Rank-1 Approximation of a Symmetric Tensor. Retrieved May 24, 2026, from https://4ort.xyz/entity/svd-based-algorithms-for-the-best-rank-1-approximation-of-a-symmetric-tensor
MLA“SVD-Based Algorithms for the Best Rank-1 Approximation of a Symmetric Tensor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/svd-based-algorithms-for-the-best-rank-1-approximation-of-a-symmetric-tensor.
BibTeX@misc{4ortxyz_svd-based-algorithms-for-the-best-rank-1-approximation-of-a-symmetric-tensor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SVD-Based Algorithms for the Best Rank-1 Approximation of a Symmetric Tensor}}, year = {2026}, url = {https://4ort.xyz/entity/svd-based-algorithms-for-the-best-rank-1-approximation-of-a-symmetric-tensor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SVD-Based Algorithms for the Best Rank-1 Approximation of a Symmetric Tensor — https://4ort.xyz/entity/svd-based-algorithms-for-the-best-rank-1-approximation-of-a-symmetric-tensor (retrieved 2026-05-24)