Laboratory for Computational Mathematics

  • Next.parts

    NEXT.parts - Next-Generation of Advanced Hybrid Parts

    This project develops activities in the field of metal-polymer fabrication solutions by allowing the construction of bi-material hybrid parts through the use of an additive process that adds polymer to another, pre-existing object using photopolymerization, a process by which light causes chains of molecules to link together, forming polymers.

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  • Additive Milling


    The main goal of the additive.MILLING project is to develop an integrated process with a cost adjusted to the industry for which is intended to, allowing the integration of the additive and subtractive technology.

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  • Advances_images

    Advances in Image Processing and Inverse Problems

    This project focuses on the design and development of image processing and inverse methods for the solution of different problems arising in a variety of important applications, like medical and earth observation imagery, and biomathematics.

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  • Complex diffusion in image denoising

    Adaptative complex diffusion filtering

    We aim to improve the process of speckle noise reduction and to improve the preservation of edge and image features using a new formulation for a well-known nonlinear complex diffusion filter (NCDF).

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The Laboratory for Computational Mathematics (LCM) of Centre for Mathematics of the University of Coimbra (CMUC) promotes research in computational mathematics and scientific computing, as techniques for the solution of challenging quantitative problems arising in science, engineering, finance and management. 

CMUC is a member of PT-MATHS-IN and its resulting partnership is promoted through LCM. The Portuguese Network of Mathematics for Industry and Innovation (PT-MATHS-IN) is focused on the transfer of mathematical knowledge and expertise to industrial partners. The Network’s goal is to both stimulate industry competitiveness and elevate research's best practices within the academic groups involved.

The activity of LCM includes interdisciplinary research, high performance computing & development of numerical software, collaboration with the industry and support for graduate education. LCM keeps strong connections with ECMI - European Consortium for Mathematics in Industry, Red Española de Matemática-Industria, Instituto Tecnológico de Matemática Industrial and the Associação Portuguesa de Matemática para a Indústria.