Titlebook: Combinatorial Optimization and Applications; 16th International C Weili Wu,Jianxiong Guo Conference proceedings 2024 The Editor(s) (if appl

Contort

Criteria

Twin-Treewidth: A Single-Exponential Logic-Based Approacharameters in parameterized complexity. We demonstrate the usefulness of this parameter by proposing a simple exponential-time generic procedure to solve problems that can be expressed in a fragment of a variant of Second-Order Monadic Logic.

松软无力

灌输

Fabrizio De Santis,Tobias Bauer,Georg Siglh the unconstraint and cardinality constraint settings are studied and the joint assortment, pricing, and advertising problem is also examined. We further extend our findings to account for consumer decision-making patterns.

释放

Sergej Proskurin,Michael Weiß,Georg Sigld Albert’s model with Kleinberg’s model, and experimentally showed that the resulting model outperformed Kleinberg’s greedy routing performance on U.S. road networks. While they displayed impressive empirical results, they did not provide any theoretical analysis of their model. In this paper, we fi

narcissism

Epidural-Space

https://doi.org/10.1007/978-3-662-61136-4mation hiding by integrating a modified blindness filtering technique into ciphertext policy attribute-based encryption under the multi-keyword search model. To minimize communication costs in the ciphertext transmission process, we utilize a super-increasing sequence to aggregate multiple blinding

narcissism

When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multh the unconstraint and cardinality constraint settings are studied and the joint assortment, pricing, and advertising problem is also examined. We further extend our findings to account for consumer decision-making patterns.

价值在贬值

Highway Preferential Attachment Models for Geographic Routingd Albert’s model with Kleinberg’s model, and experimentally showed that the resulting model outperformed Kleinberg’s greedy routing performance on U.S. road networks. While they displayed impressive empirical results, they did not provide any theoretical analysis of their model. In this paper, we fi

招待

A Two-Stage Seeds Algorithm for Competitive Influence Maximization Considering User Demandommunity Structure (DIACS) algorithm is proposed, which utilizes the characteristics of community structure and dual-influence of nodes to select candidate seeds and maximize the influence of a competitor. We test our algorithm on four real-world datasets and show that it outperforms state-of-the-ar