Titlebook: Stochastic Programming; Modeling Decision Pr Willem K. Klein Haneveld,Maarten H. van der Vlerk, Textbook 2020 Springer Nature Switzerland A

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Graduate Texts in Operations Researchhttp://image.papertrans.cn/s/image/878142.jpg

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https://doi.org/10.1007/978-3-030-29219-5Stochastic programming; Risk; Optimization; Recourse models; Chance constraints; Linear programming model

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Integrated Chance Constraints,In this chapter we discuss some differences as well as similarities between chance-constrained and recourse models. Mixing the ideas of both model types, the concept of integrated chance constraints is introduced.

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Case Studies,This chapter contains case studies on a wide variety of Stochastic Programming applications in e.g. production planning, energy, and healthcare. These case studies are more practically oriented than the assignments in Chap. . and are intended to be solved using a computer.

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nclusions drawn from the tests. Our test environment currently focuses on IP denial-of-service attacks, Trojan horse traffic and HTTP traffic. The paper focuses on the point of view of an analyst receiving alerts sent by intrusion-detection systems and the quality of the diagnostic provided. While t

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Willem K. Klein Haneveld,Maarten H. van der Vlerk,Ward Romeijnderses routing protocols employed by these networks more vulnerable to attacks than routing protocols employed within traditional wired networks. We propose a specification-based intrusion-detection model for ad hoc routing protocols in which network nodes are monitored for operations that violate their