CORDIS Project
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This project focuses on developing advanced algorithms for solving high-dimensional partial differential equations with uncertain data. It aims to create efficient numerical methods that adaptively utilize sparse tensor product discretizations, improving accuracy and reducing complexity in various applications, includi…
The present project addresses numerical analysis and algorithmic realization of sparse, adaptive tensor product discretizations of partial differential equations (PDEs) in high dimensions with stochastic data.
The aim of the project is to develop mathematically founded adaptive algorithms which are based on sparse tensorization of hierarchic Riesz bases or frames.
These will be hierarchic multilevel bases in the physical domain, either Finite Element wavelet type bases or hierarchical, multileve…
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
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