Approximation methods for polynomial optimization : models, algorithms, and applications
Zhening Li ([Springer, ], 2012)
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In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications. |
Approximation Methods for Polynomial Optimization.pdf :: Unduh
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No. Panggil : | e20419242 |
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Penerbitan : | New York: [Springer, ], 2012 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
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Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-3984-4 |
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No. Panggil | No. Barkod | Ketersediaan |
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e20419242 | TERSEDIA |
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