LEADER 04099nam 22006015 450 001 9910392729603321 005 20251113191314.0 010 $a3-319-66616-9 024 7 $a10.1007/978-3-319-66616-7 035 $a(CKB)4100000000881641 035 $a(DE-He213)978-3-319-66616-7 035 $a(MiAaPQ)EBC5117949 035 $z(PPN)25886558X 035 $a(PPN)22012650X 035 $a(EXLCZ)994100000000881641 100 $a20171031d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling and Optimization: Theory and Applications $eMOPTA, Bethlehem, PA, USA, August 2016 Selected Contributions /$fedited by Martin Taká?, Tamás Terlaky 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (VII, 162 p. 15 illus., 14 illus. in color.) 225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v213 311 08$a3-319-66615-0 320 $aIncludes bibliographical references at the end of each chapters. 327 $aStochastic Decision Problems with Multiple Risk-averse Agents (Getachew K. Befekadu, Alexander Veremyev, Vladimir Boginski, Eduardo L. Pasiliao) -- Optimal Packing of General Ellipses in a Circle (Frank J. Kampas, János D. Pintér, Ignacio Castillo) -- Column Generation Approach to the Convex Recoloring Problem on a Tree (Sunil Chopra, Ergin Erdem, Eunseok Kim, Sangho Shim) -- A Variational Inequality Formulation of a Migration Model with Random Data (Baasansuren Jadamba, Fabio Raciti) -- Identification in Mixed Variational Problems by Adjoint Methods with Applications (M. Cho, B. Jadamba, A. A. Khan, A. A. Oberai, M. Sama) -- Minimization of the Lp-norm, p ? 1 of Dirichlet-type Boundary Controls for the 1D Wave Equation (Ilya Smirnov, Anastasia Dmitrieva) -- Projected Semi-Stochastic Gradient Descent Method with Mini-Batch Scheme under Weak Strong Convexity Assumption (JieLiu and Martin Taká?) -- Exact Separation of k-Projection Polytope Constraints (Elspeth Adams, Miguel F. Anjos) -- Univariate Polynomial Optimization with Sum-of-Squares Interpolants (Dávid Papp). 330 $aThis volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on August 17-19, 2016. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of deterministic and stochastic optimization techniques in energy, finance, logistics, analytics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting. 410 0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v213 606 $aOperations research 606 $aManagement science 606 $aMathematical optimization 606 $aOperations Research, Management Science 606 $aContinuous Optimization 606 $aDiscrete Optimization 615 0$aOperations research. 615 0$aManagement science. 615 0$aMathematical optimization. 615 14$aOperations Research, Management Science. 615 24$aContinuous Optimization. 615 24$aDiscrete Optimization. 676 $a519.3 702 $aTaká?$b Martin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTerlaky$b Tamás$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910392729603321 996 $aModeling and Optimization: Theory and Applications$92044215 997 $aUNINA