most citedA Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

math.OC2017★ 2 cited

A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks

Farshad Harirchi, Omar A. Khalil, Sijia Liu +3

In this paper, we propose an optimization-based sparse learning approach to identify the set of most influential reactions in a chemical reaction network. This reduced set of react…