流利圆滑 发表于 2025-3-30 09:54:18

https://doi.org/10.1007/978-1-4899-0222-1perative game theory. More precisely, we consider an extension of the KS solution concept to the non-convex case that can be found by optimizing convex combinations of two objectives. We first characterize the properties of such KS solution(s) for the BSTP. Next, we present a weakly polynomial-time

发誓放弃 发表于 2025-3-30 13:04:12

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headway 发表于 2025-3-30 20:18:46

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我吃花盘旋 发表于 2025-3-30 21:37:34

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公猪 发表于 2025-3-31 04:24:24

0302-9743 formation and Management, AAIM 2024, which took place virtually during September 21-23, 2024..The 45 full papers  presented in these two volumes were carefully reviewed and selected from 76 submissions. The papers are organized in the following topical sections:.Part I: Optimization and applications

某人 发表于 2025-3-31 08:13:24

WTO Agreement on Safeguards 1994, approximation scheme for the constrained .-means problem takes . time. Using the method developed in this paper, we point out that every existing approximating scheme for the constrained .-means so far with time . can be transformed to a new approximation scheme with time complexity ..

POWER 发表于 2025-3-31 10:33:23

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biopsy 发表于 2025-3-31 15:49:07

Speeding Up Constrained ,-Means Through 2-Means approximation scheme for the constrained .-means problem takes . time. Using the method developed in this paper, we point out that every existing approximating scheme for the constrained .-means so far with time . can be transformed to a new approximation scheme with time complexity ..

OTTER 发表于 2025-3-31 20:37:16

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emission 发表于 2025-3-31 23:58:16

Springer Professional Computingndent Set problem. Drawing inspiration from this achievement, we craft dataless neural network solutions for the Dominating Set and Vertex-Edge Dominating Set problems. Furthermore, we also establish the correctness of our derivations in a rigorous fashion.
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查看完整版本: Titlebook: Algorithmic Aspects in Information and Management; 18th International C Smita Ghosh,Zhao Zhang Conference proceedings 2024 The Editor(s) (i