Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, But What of the Parameter?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,General Mathematics,Analysis
Link
https://link.springer.com/content/pdf/10.1007/s00365-022-09590-5.pdf
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3. Boyd, S.P., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2004)
4. Chen, Z., Haykin, S.: On different facets of regularization theory. Neural Comput. 14(12), 2791–2846 (2002)
5. Cohen, A., Dahmen, W., Mula, O., Nichols, J.: Nonlinear reduced models for state and parameter estimation (2020). SIAM/ASA J. Uncertain. Quantif. 10(1), 227–267 (2022)
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