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frequencies is available, in such a way that the sum of the transportation and inventory costs is minimized. This problem, which … is known to be NP-hard, has applications in transportation planning and in location analysis. In this paper we derive …
Persistent link: https://www.econbiz.de/10009204346
In this paper, we derive an easily computed approximation to European basket call prices for a local volatility jump-diffusion model. We apply the asymptotic expansion method to find the approximate value of the lower bound of European basket call prices. If the local volatility function is time...
Persistent link: https://www.econbiz.de/10010883224
, which includes the Steiner tree problem, uncapacitated lot-sizing problems, and the fixed charge transportation problem as …
Persistent link: https://www.econbiz.de/10005043458
-charge transportation problem (FCTP). The procedure itself is very quick. The proposed method solves FCTP by decomposing the problem into …
Persistent link: https://www.econbiz.de/10011117661
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The biggest challenge when disclosing private data is to share information contained in databases while protecting people from being individually identified. Microaggregation is a family of methods for statistical disclosure control. The principle of microaggregation is that confidentiality...
Persistent link: https://www.econbiz.de/10010993998
In general, solving Global Optimization (GO) problems by Branch-and-Bound (B&B) requires a huge computational capacity. Parallel execution is used to speed up the computing time. As in this type of algorithms, the foreseen computational workload (number of nodes in the B&B tree) changes...
Persistent link: https://www.econbiz.de/10010994040
This paper presents branch-and-bound algorithms for the partial inverse mixed integer linear programming (PInvMILP) problem, which is to find a minimal perturbation to the objective function of a mixed integer linear program (MILP), measured by some norm, such that there exists an optimal...
Persistent link: https://www.econbiz.de/10010994069