Parallel CPU- and GPU-algorithms for inverse problems in nondestructive testing

DOI10.1134/S1995080218040030zbMath1394.94007OpenAlexW2804525779WikidataQ129778345 ScholiaQ129778345MaRDI QIDQ1662762

Y. Aharonov

Publication date: 20 August 2018

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1995080218040030

zbMATH Keywords

inverse problemtomographysupercomputerGPUnondestructive imaging

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Inverse problems for PDEs (35R30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Parallel numerical computation (65Y05) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

Related Items (4)

A method of solving the coefficient inverse problems of wave tomography ⋮ Application of graphics processing units for self-consistent modelling of shallow water dynamics and sediment transport ⋮ Supercomputer simulations of ultrasound tomography problems of flat objects ⋮ Comparison of CPU and GPU platforms in problems of wave diagnostics

Cites Work

• Supercomputer technologies in inverse problems of ultrasound tomography
• Possibilities and limitations of time domain wave equation imaging
• Two approaches to the solution of coefficient inverse problems for wave equations
• Iterative methods for solving coefficient inverse problems of wave tomography in models with attenuation
• Identifying Lamé parameters from time-dependent elastic wave measurements
• Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems

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