
A Mathematical Definition of Particle Methods
We provide a formal definition for a class of algorithms known as "parti...
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STENCILNET: Datadriven solutionadaptive discretization of partial differential equations
Numerical methods for approximately solving partial differential equatio...
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Learning physically consistent mathematical models from data using group sparsity
We propose a statistical learning framework based on groupsparse regres...
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Multivariate Interpolation on Unisolvent Nodes – Lifting the Curse of Dimensionality
We present generalizations of the classic Newton and Lagrange interpolat...
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A robustness measure for singular point and index estimation in discretized orientation and vector fields
The identification of singular points or topological defects in discreti...
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Bionic Tracking: Using Eye Tracking to Track Biological Cells in Virtual Reality
We present Bionic Tracking, a novel method for solving biological cell t...
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A Proposed Framework for Interactive Virtual Reality In Situ Visualization of Parallel Numerical Simulations
As computer simulations progress to increasingly complex, nonlinear, an...
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Stability selection enables robust learning of partial differential equations from limited noisy data
We present a statistical learning framework for robust identification of...
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scenery: Flexible Virtual Reality Visualization on the Java VM
Life science today involves computational analysis of a large amount and...
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scenery  Flexible Virtual Reality Visualisation on the Java VM
Life science today involves computational analysis of a large amount and...
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OpenFPM: A scalable open framework for particle and particlemesh codes on parallel computers
Scalable and efficient numerical simulations continue to gain importance...
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A DomainSpecific Language and Editor for Parallel Particle Methods
Domainspecific languages (DSLs) are of increasing importance in scienti...
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Gradient Distribution Priors for Biomedical Image Processing
Illposed inverse problems are commonplace in biomedical image processin...
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Ivo F. Sbalzarini
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