Download PDF by F J Corbató; J W Poduska; J H Saltzer: Advanced computer programming : a case study of a classroom

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By F J Corbató; J W Poduska; J H Saltzer

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Table 7 reports our computational results. It is worth observing that while the default version of our code is unable to close any significant gap on the ex9 1 4 Disjunctive Cuts for Non-convex MIQCP Table 5. 790 29 30 A. Saxena, P. Bonami, and J. Lee Table 6. 215491 Table 7. 207 instance, when amended with disjunctive cuts from the linear complementarity constraints it closes 100% of the duality gap. Next we present our computational results on the MIQCP instances proposed in [12]. These problem have both continuous and integer variables and quadratic constraints.

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.

Bonami, and J. t. B = 0 ; u, v ≥ 0 ; n c = j=1 λj cj ; zj − 1 ≤ λj , ∀j = 1 . . n ; λj ≤ zj , ∀j = 1 . . n ; λ+ j ≤ λj + 2(1 − zj ), ∀j = 1 . . n ; λ+ j ≤ −λj + 2zj , ∀j = 1 . . n ; λ+ j ≥ 0, ∀j = 1 . . n ; n + λ j=1 j = 1 ; λj = 0, ∀j ∈ {1 . . t. μj ≤ 0 ; zj ∈ {0, 1} j ∈ {1, . . , n}. (UGMIP) Another idea that has played a significant role in the successful application of general-purpose cutting planes in MILP is that of cut diversification [8,4]. Cut diversification refers to the strategy of adding a batch of cuts each of which affects a different part of the incumbent solution thereby triggering a collaborative action and yielding improvements that cannot be obtained by a single cut.

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Advanced computer programming : a case study of a classroom assembly program by F J Corbató; J W Poduska; J H Saltzer


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