Titlebook: Recent Advances in Industrial and Applied Mathematics; Tomás Chacón Rebollo,Rosa Donat,Inmaculada Higuera Conference proceedings‘‘‘‘‘‘‘‘ 2

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Recent Advances in Industrial and Applied Mathematics

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State Estimation—The Role of Reduced Models developing efficient computational strategies. In particular, the need to . the reduced models—not to a specific (possibly noisy) data set but rather to the sensor system—is a central theme. This, in turn, is facilitated by exploiting . perspectives based on proper . of the continuous model.

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2199-3041 sts.The subjects cover a wide spectrum of subjects within in.This open access book contains review papers authored by thirteen plenary invited speakers to the 9th International Congress on Industrial and Applied Mathematics (Valencia, July 15-19, 2019). Written by top-level scientists recognized wor

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Some Case Studies in Environmental and Industrial Mathematicsat+i) from the University of Santiago de Compostela and the Technological Institute for Industrial Mathematics (ITMATI). The first case involves environmental fluid mechanics: optimizing the location of submarine outfalls on the coast. This work, related to shallow water equations with variable dept

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Modelling Our Sense of Smellls along cilia, which are long thin cylindrical structures in our olfactory system. Determining how the ion channels are distributed along the length of a cilium is beyond current experimental methods. Here we describe how this can be approached as a mathematical inverse problem. Identification of s

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State Estimation—The Role of Reduced Modelsepresented as a family of . and (ii) . provided by . or .. The amount of sensors is typically limited and data acquisition may be expensive and in some cases even harmful. This article reviews some recent developments for this “small-data” scenario where inversion is strongly aggravated by the typic