link.springer.com/10.1007/s12532-019-00164-4
Preview meta tags from the link.springer.com website.
Linked Hostnames
24- 63 links tolink.springer.com
- 39 links toscholar.google.com
- 34 links towww.emis.de
- 32 links towww.ams.org
- 23 links todoi.org
- 10 links towww.springernature.com
- 3 links toscholar.google.co.uk
- 3 links towww.ncbi.nlm.nih.gov
Thumbnail

Search Engine Appearance
https://link.springer.com/10.1007/s12532-019-00164-4
Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs - Mathematical Programming Computation
We introduce Sieve-SDP, a simple facial reduction algorithm to preprocess semidefinite programs (SDPs). Sieve-SDP inspects the constraints of the problem t
Bing
Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs - Mathematical Programming Computation
https://link.springer.com/10.1007/s12532-019-00164-4
We introduce Sieve-SDP, a simple facial reduction algorithm to preprocess semidefinite programs (SDPs). Sieve-SDP inspects the constraints of the problem t
DuckDuckGo
Sieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs - Mathematical Programming Computation
We introduce Sieve-SDP, a simple facial reduction algorithm to preprocess semidefinite programs (SDPs). Sieve-SDP inspects the constraints of the problem t
General Meta Tags
123- titleSieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs | Mathematical Programming Computation
- charsetUTF-8
- X-UA-CompatibleIE=edge
- applicable-devicepc,mobile
- viewportwidth=device-width, initial-scale=1
Open Graph Meta Tags
6- og:urlhttps://link.springer.com/article/10.1007/s12532-019-00164-4
- og:typearticle
- og:site_nameSpringerLink
- og:titleSieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs - Mathematical Programming Computation
- og:descriptionWe introduce Sieve-SDP, a simple facial reduction algorithm to preprocess semidefinite programs (SDPs). Sieve-SDP inspects the constraints of the problem to detect lack of strict feasibility, deletes redundant rows and columns, and reduces the size of the variable matrix. It often detects infeasibility. It does not rely on any optimization solver: the only subroutine it needs is Cholesky factorization, hence it can be implemented in a few lines of code in machine precision. We present extensive computational results on several problem collections from the literature, with many SDPs coming from polynomial optimization.
Twitter Meta Tags
6- twitter:site@SpringerLink
- twitter:cardsummary_large_image
- twitter:image:altContent cover image
- twitter:titleSieve-SDP: a simple facial reduction algorithm to preprocess semidefinite programs
- twitter:descriptionMathematical Programming Computation - We introduce Sieve-SDP, a simple facial reduction algorithm to preprocess semidefinite programs (SDPs). Sieve-SDP inspects the constraints of the problem to...
Item Prop Meta Tags
3- position1
- position2
- position3
Link Tags
9- apple-touch-icon/oscar-static/img/favicons/darwin/apple-touch-icon-6ef0829b9c.png
- canonicalhttps://link.springer.com/article/10.1007/s12532-019-00164-4
- icon/oscar-static/img/favicons/darwin/android-chrome-192x192.png
- icon/oscar-static/img/favicons/darwin/favicon-32x32.png
- icon/oscar-static/img/favicons/darwin/favicon-16x16.png
Emails
1Links
226- http://arxiv.org/abs/1411.2038
- http://arxiv.org/abs/1811.02879
- http://dimacs.rutgers.edu/Challenges/Seventh/Instances
- http://scholar.google.com/scholar_lookup?&title=A%20Mathematical%20View%20of%20Interior-Point%20Methods%20in%20Convex%20Optimization&doi=10.1137%2F1.9780898718812&publication_year=2001&author=Renegar%2CJ
- http://scholar.google.com/scholar_lookup?&title=A%20Newton-CG%20augmented%20Lagrangian%20method%20for%20semidefinite%20programming&journal=SIAM%20J.%20Optim.&doi=10.1137%2F080718206&volume=20&issue=4&pages=1737-1765&publication_year=2010&author=Zhao%2CXY&author=Sun%2CD&author=Toh%2CK-C