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Titlebook: Mathematical Optimization Theory and Operations Research; 19th International C Alexander Kononov,Michael Khachay,Panos Pardalos Conference

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51#
發(fā)表于 2025-3-30 08:59:28 | 只看該作者
52#
發(fā)表于 2025-3-30 16:06:53 | 只看該作者
D.C. Constrained Optimization Approach for Solving Metal Recovery Processing Problemal data turned out to be a quadratically constrained quadratic programming problem, which we solve by applying the global search theory for general DC programming. According to the theory, first, we obtain an explicit DC representation of the nonconvex functions involved in the problem. Second, we p
53#
發(fā)表于 2025-3-30 18:37:38 | 只看該作者
54#
發(fā)表于 2025-3-30 23:37:31 | 只看該作者
Adaptive Descent Splitting Method for Decomposable Optimization Problemsthe basic convergence properties but enables one to reduce computational efforts per iteration and to provide computations in a distributed manner. On the one hand, it consists in component-wise choice of descent directions together with a special threshold control. On the other hand, it involves a
55#
發(fā)表于 2025-3-31 03:46:31 | 只看該作者
56#
發(fā)表于 2025-3-31 05:03:59 | 只看該作者
Dixit-Stiglitz-Krugman Model with Nonlinear Costsof consumers are additive separable. Transport costs are of “iceberg type.” The only production factor is labor. The concrete functional form of sub-utility function is assumed unknown. Thus, it is not possible to get the equilibrium in closed form. We examine the local symmetric comparative statics
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