Parameter optimization of linear ordinary differential equations with application in gene regulatory network inference problems
In this thesis we analyze parameter optimization problems governed by linear ordinary differential equations (ODEs) and develop computationally efficient numerical methods for their solution. In addition, a series of noise-robust finite difference formulas are given for the estimation of the derivat...
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| Format: | Others |
| Language: | English |
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KTH, Numerisk analys, NA
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-154034 |