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Multivariate Regularized Newton and Levenberg-Marquardt methods: a comparison on synthetic data of tumor hypoxia in a kinetic framework

Sara Garbarino

Sara Garbarino

Centre for Medical Image Computing, University College LondonLondon,
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Garbarino, Sara
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Giacomo Caviglia

Giacomo Caviglia

Dipartimento di Matematica, Università di GenovaItaly
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Caviglia, Giacomo
  
May 11, 2019
Multivariate Regularized Newton and Levenberg-Marquardt methods: a comparison on synthetic data of tumor hypoxia in a kinetic framework's Cover Image
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Published Online: May 11, 2019
Page range: 47 - 53
Received: Nov 20, 2016
Accepted: Jul 24, 2017
DOI: https://doi.org/10.2478/caim-2019-0006
Keywords
© 2019 Sara Garbarino et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Mathematics, Numerical and Computational Mathematics, Applied Mathematics
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