Titlebook: Challenges at the Interface of Data Analysis, Computer Science, and Optimization; Proceedings of the 3 Wolfgang A. Gaul,Andreas Geyer-Schul

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G. RudolfIn the Response Matrix Method (RMM) the solution of a particle transport problem in a composite (large) domain, . is constructed from precomputed particular solutions to the local problems associated with each of the subdomains V. (i=1,2,...N). The RMM becomes efficient if:

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Fortschritte bei Saiten-WägezellenImprovements in performance as well as a reduction of manufacturing costs can be realized with a vibrating string weighcell by a suitable combination of mechanical design and microcomputer-controlled electronics.

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Enqiang LinghuThroughout this chapter, using the measure of noncompactness we deal with the review of some recent problems arising in the area of fractional calculus as a field of mathematics that is, in a specified sense, as old as classical calculus.

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Manzoor Ahmad Mir,Shazia Sofi,Pir M. IshfaqWe show that the cone-adapted shearlet coefficients can be computed by means of the limited angle horizontal and vertical (affine) Radon transforms and the one-dimensional wavelet transform. This yields formulas that open new perspectives for the inversion of the Radon transform.

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https://doi.org/10.1007/978-3-663-04274-7lization techniques. We describe the operators in each technique in the context of the Data State Model by using example data domains. In doing this, we illustrate the power of the Data State Model by showing its general comprehensive applicability.

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,Examples of Remote Sensing Applications of Big Data Analytics—Agricultural Drought Monitoring and Fmonitoring and forecasting system. The system demonstrated the event-based processing workflow using a service-oriented architecture. Standards of geospatial Web services are adopted to achieve reusability, flexibility, and scalability in handling remote sensing big data.