eBooks :: Kembali

eBooks :: Kembali

Mixed integer nonlinear programming

edited by Jon Lee, Sven Leyffer (Springer, 2012)


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.

 File Digital: 1

 Mixed Integer Nonlinear Programming.pdf :: Unduh


Jenis Koleksi : eBooks
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 Carrier online resource
Deskripsi Fisik
Tautan http://link.springer.com/book/10.1007%2F978-1-4614-1927-3
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
e20419530 20-22-07297777 TERSEDIA
Tidak ada ulasan pada koleksi ini: 20419530