A first approach to learning a best basis for gravitational field modelling
DOI10.1007/s13137-020-0143-5zbMath1504.86024arXiv1901.04222OpenAlexW2910195017MaRDI QIDQ2300570
Volker Michel, Naomi Schneider
Publication date: 27 February 2020
Published in: GEM - International Journal on Geomathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1901.04222
inverse problemnonlinear optimizationgreedy algorithmradial basis functionsspherical harmonicsdictionary learningmatching pursuitdownward continuation
Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05) Inverse problems in geophysics (86A22) Algorithms for approximation of functions (65D15) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Numerical methods for inverse problems for integral equations (65R32) Boundary value and inverse problems for harmonic functions in higher dimensions (31B20) Approximation by arbitrary linear expressions (41A45) Numerical methods for ill-posed problems for boundary value problems involving PDEs (65N20)
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