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Titlebook: Advances in Optimization and Applications; 11th International C Nicholas Olenev,Yuri Evtushenko,Vlasta Malkova Conference proceedings 2020

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樓主: 突然
31#
發(fā)表于 2025-3-26 21:23:16 | 只看該作者
Organisational Complaint Management,convex hull. A polyhedral-surface cutting plane method (PSCM) for linear constrained optimization over VLS is offered. It utilizes representability of a VLS as an intersection of a strictly convex surface . with a polytope .. PSCM applies iteratively two steps dealing with a polyhedral or a surface
32#
發(fā)表于 2025-3-27 03:36:53 | 只看該作者
https://doi.org/10.1007/978-3-319-18179-0ol space. The equivalence of operator equations to the condition of the maximum principle is shown. The constructed operator forms of the maximum principle make it possible to apply and modify the well-known apparatus of the theory and methods of fixed points to search for extreme controls. The cont
33#
發(fā)表于 2025-3-27 08:11:28 | 只看該作者
Complaint Management and Channel Choicensional function of a vector argument. Placing this control function into the right-hand part of differential equations of the control object model allows receiving the system of differential equations which partial solution from any initial condition of the given set is always optimal trajectory fo
34#
發(fā)表于 2025-3-27 12:29:18 | 只看該作者
35#
發(fā)表于 2025-3-27 17:04:32 | 只看該作者
36#
發(fā)表于 2025-3-27 19:59:09 | 只看該作者
Hans J. Müller-Eberhard,Peter A. Miescherartitioning of the players into coalitions. In this situation, two extreme cases of this partitioning correspond to the Pareto optimal outcome and the Nash equilibrium outcome, respectively. The parameter space of admissible perturbations in such problem is formed by a set of additive matrices, with
37#
發(fā)表于 2025-3-28 01:34:14 | 只看該作者
Role of Complement in Cerebral Malaria,ons or higher), as well as machine-generated data of unlimited volume. It is difficult to analyze and visualize data of such volume and complexity using traditional methods. In contrast (and in addition) to machine learning methods widely used in Big Data analysis, it is proposed to use stochastic m
38#
發(fā)表于 2025-3-28 05:01:34 | 只看該作者
39#
發(fā)表于 2025-3-28 08:50:20 | 只看該作者
40#
發(fā)表于 2025-3-28 10:33:58 | 只看該作者
978-3-030-65738-3Springer Nature Switzerland AG 2020
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