Recycling Krylov subspaces for efficient large-scale electrical impedance tomography
From MaRDI portal
Publication:643867
DOI10.1016/j.cma.2010.06.001zbMath1225.92026OpenAlexW2108847375MaRDI QIDQ643867
Eric De Sturler, Emílio Carlos Nelli Silva, Glaucio H. Paulino, Luis Augusto Motta Mello
Publication date: 2 November 2011
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2010.06.001
preconditioningiterative methodssequential linear programmingKrylov subspace recyclingthree-dimensional electrical impedance tomography
Biological applications of optics and electromagnetic theory (78A70) Biomedical imaging and signal processing (92C55) Computational methods for problems pertaining to biology (92-08)
Related Items
Fast Algorithms for Hyperspectral Diffuse Optical Tomography, Recycling BiCGSTAB with an Application to Parametric Model Order Reduction, Krylov subspace recycling for evolving structures, A survey of subspace recycling iterative methods, Deflation for the Off-Diagonal Block in Symmetric Saddle Point Systems, A level-set approach based on reaction–diffusion equation applied to inversion problems in acoustic wave propagation, Hybrid Projection Methods with Recycling for Inverse Problems, Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography, Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers, Hybrid Projection Methods with Recycling for Inverse Problems, Topology optimization of thermal fluid-structure systems using body-fitted meshes and parallel computing, Nonlinear Parametric Inversion Using Interpolatory Model Reduction
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The use of neural network approximation models to speed up the optimisation process in electrical impedance tomography
- Multilevel sparse approximate inverse preconditioners for adaptive mesh refinement
- Statistical and computational inverse problems.
- Boundary identification for a 3D Laplace equation using a genetic algorithm
- Large-scale topology optimization using preconditioned Krylov subspace methods with recycling
- Recycling Krylov Subspaces for Sequences of Linear Systems
- Solution of Sparse Indefinite Systems of Linear Equations
- An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix
- Tikhonov regularization for electrical impedance tomography on unbounded domains
- The use of ADINA for analysis of mines with explosive fills
- Iterative Krylov Methods for Large Linear Systems
- Approximate solutions and eigenvalue bounds from Krylov subspaces
- Achieving minimum length scale in topology optimization using nodal design variables and projection functions
- Recycling Subspace Information for Diffuse Optical Tomography