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Using SeDuMi to find various optimal designs for regression models
We introduce a powerful and yet seldom used numerical approach in statistics for solving a broad class of optimization problems where the search space is discretized. This optimization tool is widely used in engineering for solving semidefinite programming (SDP) problems and is called SeDuMi (self-d...
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| Vydáno v: | Stat Pap (Berl) |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7523779/ https://ncbi.nlm.nih.gov/pubmed/33013000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00362-017-0887-7 |
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