Approximation quality for matrix lnsp3937
<p>Approximation quality for matrix lnsp3937. The left y-axis refers to the approximation errors <span class="math-tex">\(e^*\)</span> divided by <span class="math-tex">\(‖A‖_F\)</span> , where <span class="math-tex">\(e^*\)</span> denotes either <span class="math-tex">\(e_{rand}\)</span> (3), <span class="math-tex">\(e_{det}\)</span> (5), or the smallest error possible by the TSVD. The right y-axis refers to the error indicators <span class="math-tex">\(E^*\)</span> divided by <span class="math-tex">\(‖A‖_F\)</span> , where <span class="math-tex">\(E^*\)</span> denotes either <span class="math-tex">\(E_{rand}\)</span> (4) or <span class="math-tex">\(E_{det}\)</span> (10). As mentioned in Section II-A2, the error<br> indicator for RandQB_EI fails in double precision floating point arithmetic for approximation qualities smaller than <span class="math-tex">\(2.1\cdot 10^{-7}\)</span>.</p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- December 1, 2021
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.5749972
Scored with release 0.9.0
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