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Titlebook: Unconventional Computation; 4th International Co Cristian S. Calude,Michael J. Dinneen,Grzegorz Roz Conference proceedings 2005 Springer-Ve

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Carmen Graciani-Díaz,Agustín Riscos-Núñezironment for interactive design and optimization. However, it has been shown [3–10] that the method may exhibit serious inaccuracies when applied to structures modeled by beam, plate, shell, and Hermite elements. The inaccuracy of primary concern is associated with the dependence of design sensitivi
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Shuichi Inokuchi,Kazumasa Honda,Hyen Yeal Lee,Tatsuro Sato,Yoshihiro Mizoguchi,Yasuo Kawaharass is considered critical as deviations or disturbances in individual feeders may produce compositional variability in the following mixing steps. This variability may then impact downstream unit operations and result in a detrimental change to the quality attributes of the final product. To design
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Nataša Jonoska,Gregory L. McColmcal optimization.Provides instructions on using NCSOStools o.This book presents recent results on positivity and optimization of polynomials in non-commuting variables. Researchers in non-commutative algebraic geometry, control theory, system engineering, optimization, quantum physics and informatio
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Kojiro Kobayashi,Darin Goldsteinr plant with superheat and reheat shown in Fig. 6.1 is taken as an example. It consists of one stage of steam reheat and two closed feed water heaters with drains cascaded backward that operates at different pressure levels. Each feed water heater is a heat exchanger that receives steam bled from th
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Predrag T. Tošić,Gul A. Agha providing real-time processing, reduced latency, increased efficiency, improved security, and scalability, edge devices are at the forefront of enabling IoT growth and success. As the adoption of AI on the edge continues to surge, the demand for real-time data processing is escalating, driving inno
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Cosmin Bonchiş,Gabriel Ciobanu,Cornel Izbaşa,Dana Petcu of optimizing a function that depends on static variables (i.e., parameters) is considered. Problems with equality and inequality constraints are addressed. • 978-90-481-5205-6978-94-015-9149-2Series ISSN 0925-0042 Series E-ISSN 2214-7764
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Zhe Dang,Oscar H. Ibarra,Cheng Li,Gaoyan Xies as random variables in the supply chain unit. Aimed at the three-stage mixed control supply chain, a logistics planning model was designed using fuzzy random programming theory with customer demand as fuzzy r978-3-662-51617-1978-3-662-47250-7
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