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

*Harirchi, Farshad*;

*Khalil, Omar A.*;

*Liu, Sijia*;

*Elvati, Paolo*;

*Violi, Angela*;

*Hero, Alfred O.*;

- Subject: Mathematics - Optimization and Control | Mathematics - Dynamical Systems | Computer Science - Learning

- References (12) 12 references, page 1 of 2
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[4] Lu, T. & Law, C.K., (2005) A directed relation graph method for mechanism reduction. Elsevier Proceedings of the Combustion Institute 30, pp. 1333-1341.

[5] Lu, T. & Law, C.K., (2006) On the applicability of directed relation graphs to the reduction of reaction mechanisms. Elsevier Combustion and Flame 146, pp. 472-483.

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[7] Pepiot-Desjardins, P. & Pitsch, H., (2008) An efficient error-propagation-based reduction method for large chemical kinetic mechanisms. Elsevier Combustion and Flame 154, pp. 67-81.

[8] Candes, E.J. & Wakin, M.B., (2010). An Introduction To Compressive Sampling. IEEE Signal Processing Magazine, pp. 21-30.

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[10] Joshi, S. & Boyd, S., (2009) Sensor selection via convex optimization. IEEE Transactions on Signal Processing 57. pp. 451-462.

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