Bedrock topography reconstruction of glaciers from surface topography and mass-balance data
DOI10.1007/s10596-014-9439-6zbMath1392.86056OpenAlexW2018754327WikidataQ110316048 ScholiaQ110316048MaRDI QIDQ723153
Heinz Blatter, Laurent Michel-Griesser, Martin Funk, Daniel Farinotti, Marco Picasso
Publication date: 30 July 2018
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-014-9439-6
inverse problemTikhonov regularizationquasi-stationary inverse methodshape optimization algorithmtransient inverse method
Computational methods for problems pertaining to geophysics (86-08) Glaciology (86A40) PDEs in connection with geophysics (35Q86)
Uses Software
Cites Work
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- A topology optimization approach using VOF method
- Estimating the ice thickness of mountain glaciers with a shape optimization algorithm using surface topography and mass-balance
- A topology optimization method based on the level set method incorporating a fictitious interface energy
- Numerical simulation of Rhonegletscher from 1874 to 2100
- Structural optimization using sensitivity analysis and a level-set method.
- Tikhonov regularization and the L-curve for large discrete ill-posed problems
- A variational level set method for the topology optimization of steady-state Navier-Stokes flow
- Optimal energy growth and optimal control in swept Hiemenz flow
- Optimization with PDE Constraints
- Iterative methods for solving a nonlinear boundary inverse problem in glaciology
- Thermomechanical balances of ice sheet flows
- Adaptive Finite Element Methods for Optimal Control of Partial Differential Equations: Basic Concept
- Estimating the ice thickness of mountain glaciers with an inverse approach using surface topography and mass-balance
- Optimization of unsteady incompressible Navier–Stokes flows using variational level set method
- A Family of Variable-Metric Methods Derived by Variational Means
- A new approach to variable metric algorithms
- The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
- Conditioning of Quasi-Newton Methods for Function Minimization
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