Mixed integer nonlinear programming
edited by Jon Lee, Sven Leyffer (Springer, 2012)
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| Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization. |
 Mixed Integer Nonlinear Programming.pdf :: Unduh
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| No. Panggil : | e20419530 |
| Entri tambahan-Nama orang : | |
| Subjek : | |
| Penerbitan : | New York: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-1927-3 |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20419530 | 20-22-07297777 | TERSEDIA |
| Ulasan: |
| Tidak ada ulasan pada koleksi ini: 20419530 |
