Idea behind the concept was to identify possibilities which could be transferred via pilot actions and in later stages as follow up project.
It also shows that techniques can be applied across sectors something that emerges in the municipal transportation sector, could be viable in the industrial engineering sector and something that is viable in the textile industry, could be applied in the medical sector. It shows that advanced manufacturing techniques such as smart engineering and rapid prototyping, are relevant and currently in practice across different aspects of Central Europe’s value-chain. Most important achievement of the partnership is that we managed to demonstrate cross-sectoral characteristic. Action plans are representing the solid ground for joint activities as R&D projects which present the basis for capitalization, trainings in the format of Moodle platform and strategic actions in format of workshops with key stakeholders. 2 nd step – out of identified regional solution providers Good Practices and lessons learnt were selected and described by each partnerĪ diversity of different practices related to smart engineering & rapid prototyping in different technologies and cross sectors – from development of smart services to the optimization of entire production processes – led to identification of 11 specialized topics which served as a base for a road-map and action plans development.1 st step – identification of Smart engineering & rapid prototyping solutions offered by SMEs and research institutions in each region.The methodology behind is composed of two major steps: This ultimately means that they have good access to the organisations involved in the good practice and can more easily facilitate cooperation and the competence enhancement that makes up a key output of this project. All of these partners have an extensive network of organisations as companies, clusters, research institutions, who carry knowledge and expertise related to smart engineering and rapid prototyping.Īll the good practices and associated lessons learnt are derived from real-life examples to which the project partners have been exposed. Smith and Andrew V.3DCentral brings together Project Partners who represent technology hubs and expertise across Central Europe. This code is a part of the BLOPEX eigensolver package, seeĬopyright owners: Bryan C.
For more information on tensor sums, seeĮxample, compute everything for 3D negative Laplacian with mixed boundary conditions: The code can also compute the sparse matrix itself, using Kronecker sums of 1D Laplacians. The code computes the exact eigenpairs of (1-3)D negative Laplacian on a rectangular finite-difference grid for combinations of Dirichlet, Neumann, and Periodic boundary conditions using explicit formulas from
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