The UV research groups (GIUV) are regulated in the 1st chapter of the Regulation ACGUV48/2013, which explains the procedure for creating new research structures. They are basic research and organizational structures that result from the voluntary association of researchers that share objectives, facilities, resources and common lines of research. These researchers are also committed to the consolidation and stability of their activity, work in groups and the capability to achieve a sustainable funding.
The research groups included in the previously mentioned Regulation are registered in the Register of Research Structures of the Universitat de València (REIUV), managed by the Office of the Vice-principal for Research. The basic information of these organisms can be found in this website.
Participants
Data related to research groups featured in various information dissemination channels shall not, under any circumstances, imply a statement or commitment regarding the employment or academic affiliation of individuals associated with the Universitat de València. Their inclusion is solely the responsibility of the group directors. Updates will be made upon request from interested parties.
- Registered groups in the Register of Research Structures of the Universitat de València - (REIUV)
Reference of the Group:
Description of research activity: The research objectives of our group are the design and analysis of numerical methods that can make efficient use of available computational resources by adapting them to data from a numerical simulation of predominantly convective processes or from adaptive image and signal processing using multiresolution techniques. The numerical methods for partial differential equations that we design and analyse are used in fields as diverse as gas dynamics, both compressible and incompressible, sedimentation of polydisperse suspensions, flows in porous media, dynamics of charged particles, shallow water models, etc. The ability to use approximation techniques within a multi-resolution environment has proven extremely useful in the compression of strongly gradient signals in applications such as image restoration, disparity calculations or optical flow. Techniques specifically designed to preserve other data properties, such as convexity and monotonicity, are also used, which is crucial in the data generation process in various applications.
Web:
Scientific-technical goals: - Metodos numericos adaptativos para proceso de imagenes y modelos con EDP
Research lines: - Image processing.Non-linear, data-dependent approximation techniques are used in a multi-resolution environment for the compression of strongly gradient signals in applications such as image restoration, disparity calculation or optical flow.
- Numerical methods for equations of hyperbolic type.Numerical methods for partial differential equations are designed and analysed for use in fields as diverse as gas dynamics, both compressible and incompressible, sedimentation of polydisperse suspensions, flows in porous media, charged particle dynamics, etc.
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