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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
E. A. Gondyul, V. V. Lisitsa, K. G. Gadylshin, D. M. Vishnevskii, “Optimization of the training dataset for NDM-net (Numerical Dispersion Mitigation neural network)”, Num. Meth. Prog., 25:2 (2024), 155–174  |
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2023 |
| 2. |
K. A. Gadylshina, D. M. Vishnevskii, K. G. Gadylshin, V. V. Lisitsa, “Training data set construction based on the Hausdorff metric for numerical dispersion mitigation neural network in seismic modelling”, Num. Meth. Prog., 24:2 (2023), 195–212 |
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2022 |
| 3. |
K. G. Gadylshin, D. A. Neklyudov, M. I. Protasov, “Numerical implementation of the full waveform inversion method using the asymptotic solution of the Helmholtz equation”, Num. Meth. Prog., 23:1 (2022), 29–45 |
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2016 |
| 4. |
K. G. Gadylshin, D. A. Neklyudov, I. Yu. Silvestrov, “Near surface reconstruction using the full waveform inversion method: a resolution analysis”, Num. Meth. Prog., 17:4 (2016), 487–499 |
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2015 |
| 5. |
K. G. Gadylshin, M. I. Protasov, “Calculation of exact frequency-dependent rays when the solution of the Helmholtz equation is known”, Num. Meth. Prog., 16:4 (2015), 586–594 |
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2014 |
| 6. |
K. G. Gadylshin, V. A. Tcheverda, “Nonlinear least-squares full waveform inversion: SVD analysis”, Num. Meth. Prog., 15:3 (2014), 499–513 |
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| Presentations in Math-Net.Ru |
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