`@IgorCarron`

blogs recent applications of **compressive sensing** and matrix factorisation every week.

(Compressive sensing solves underdetermined systems of equations, for example trying to fill in missing data, by L₁-norm minimisation.)

*This week: ***reverse-engineering biochemical pathways** and complex systems analysis.

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Tags: adjacency matrix, applied mathematics, biochemistry, biology, chemistry, complex networks, compressed sensing, compressive sensing, dynamical systems, graph theory, Igor Carron, L₁ norm, matrices, matrix algebra, matrix factorisation, matrix factorization, networks, synthetic biology, time-series, topography

This entry was posted on May 28, 2012 at 7:40 pm and is filed under Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed.
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