Publications associées à Adaptive Approximation of Shapes

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Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Sohrab Mirshams Shahshahani

We construct a one parameter family of nite time blow ups to the co-rotational wave maps problem from

S^2\times R

S^2

parameterized by

\nu \epsilon (\frac{1}{2},1]

. The longitudinal function

u(t,\alpha)

which is the main object of study will be ...

2016

Adaptive Approximation of Shapes

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Chattez avec Graph Search

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Chemiscope: interactive structure-property explorer for materials and molecules

Group Approximation in Cayley Topology and Coarse Geometry, Part II: Fibred Coarse Embeddings

Two-step phase demodulation algorithm based on quadratic phase parameter estimation using state space analysis

Fourier dimensionality reduction of radio-interferometric data

A Fourier dimensionality reduction model for big data interferometric imaging

Graph-based Methods for Visualization and Clustering

On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

Group Approximation in Cayley Topology and Coarse Geometry, Part II: Fibred Coarse Embeddings

Graph-based Methods for Visualization and Clustering

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Fourier dimensionality reduction of radio-interferometric data

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Two-step phase demodulation algorithm based on quadratic phase parameter estimation using state space analysis

Chemiscope: interactive structure-property explorer for materials and molecules

A Fourier dimensionality reduction model for big data interferometric imaging

On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems