Authors
Sara Garbarino
Centre for Medical Image Computing, University College London, London
Giacomo Caviglia
Dipartimento di Matematica, Università di Genova, Italy
Multivariate Regularized Newton and Levenberg-Marquardt methods: a comparison on synthetic data of tumor hypoxia in a kinetic framework
By: Sara Garbarino and Giacomo Caviglia
DOI: https://doi.org/10.2478/caim-2019-0006 | Journal eISSN: 2038-0909
Language: English
Page range: 47 - 53
Submitted on: Nov 20, 2016
|Accepted on: Jul 24, 2017
|Published on: May 11, 2019
Published by: Italian Society for Applied and Industrial Mathemathics
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Related subjects:
© 2019 Sara Garbarino, Giacomo Caviglia, published by Italian Society for Applied and Industrial Mathemathics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.