Home Programming • Download Integer Programming and Combinatorial Optimization: 13th by Oktay Günlük, Jeff Linderoth (auth.), Andrea Lodi, PDF

Download Integer Programming and Combinatorial Optimization: 13th by Oktay Günlük, Jeff Linderoth (auth.), Andrea Lodi, PDF

By Oktay Günlük, Jeff Linderoth (auth.), Andrea Lodi, Alessandro Panconesi, Giovanni Rinaldi (eds.)

The quantity includes the papers chosen for presentation at IPCO 2008, the thirteenth overseas convention on Integer Programming and Combinatorial - timization that used to be held in Bertinoro (Italy), may perhaps 26–28, 2008. The IPCO sequence of meetings, subsidized by way of the Mathematical Progr- ming Society, highlights contemporary advancements in idea, computation, and app- cation of integer programming and combinatorial optimization. The ?rst conf- ence happened in 1990; ranging from IPCO 1995, the complaints are released within the Lecture Notes in computing device technological know-how sequence. The 12 prior IPCO meetings have been held in Waterloo (Canada) 1990, Pittsburgh (USA) 1992, Erice (Italy) 1993, Copenhagen (Denmark) 1995 [LNCS 920], Vancouver (Canada) 1996 [LNCS 1084], Houston (USA) 1998 [LNCS 1412], Graz (Austria) 1999 [LNCS 1610], Utrecht (The Netherlands) 2001 [LNCS 2081], Boston (USA) 2002 [LNCS 2337], big apple (USA) 2004 [LNCS 2986], Berlin (Germany) 2005 [LNCS 3509], and Ithaca (USA) 2007 [LNCS 4168]. The c- ference isn't really held within the years whilst the overseas Symposium of the Ma- ematical Programming Society takes place.

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Additional resources for Integer Programming and Combinatorial Optimization: 13th International Conference, IPCO 2008 Bertinoro, Italy, May 26-28, 2008 Proceedings

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Math. Program. 58, 295–324 (1993) 4. : Optimizing over the split closure. , Math. Program. A (to appear, 2005) 5. : An Algorithmic Framework for Convex Mixed-integer Nonlinear Programs. Discrete Optimization (in press) Disjunctive Cuts for Non-convex MIQCP 33 6. : A finite branch-and-bound algorithm for nonconvex quadratic programming via semidefinite relaxations. Math. Programming (to appear) 7. : Revival of the Gomory cuts in the 1990’s. Annals of Operations Research 149(1), 63–66 (2007) 8. : Optimizing over the first Chvatal closure.

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K). This can be accomplished by amending the UGMIP by appending the following constraints which not only exclude the vectors ck (k = 1 . . K), but also ensure mutual orthogonality between any feasible solution of UGMIP and ck (k = 1 . . K): n λj λkj = 0 ∀k = 1 . . K . 1 enumerating at most 2000 branch-and-bound nodes. Furthermore, the diversification scheme mentioned above was used iteratively until the resulting UGMIP became infeasible or CPLEX was unable to find a feasible solution within the stipulated node limit.

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