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Scalable nonlinear programming framework for parameter estimation in dynamic biological system models
We present a nonlinear programming (NLP) framework for the scalable solution of parameter estimation problems that arise in dynamic modeling of biological systems. Such problems are computationally challenging because they often involve highly nonlinear and stiff differential equations as well as ma...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467427/ https://www.ncbi.nlm.nih.gov/pubmed/30908479 http://dx.doi.org/10.1371/journal.pcbi.1006828 |