One of the ironies of the moment we’re in is that this inversion of good and evil, truth and falsehood has become more widespread and extreme at the very time that science, technology, and ...
Abstract: The application of deep learning techniques to full waveform inversion (FWI) theory represents a significant research direction. Leveraging the nonlinear representations offered by deep ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of low-loss reconfigurable integrated optical devices enables further ...
Stochastic inversion method based on compressed sensing frequency division waveform indication prior
The stochastic inversion method using logging data as conditional data and seismic data as constraint data has a higher vertical resolution than the conventional deterministic inversion method.
Carbonate reservoirs are one of the most important types of reservoirs worldwide (Yang et al., 2020; Dai et al., 2021; Zhu et al., 2021; Li et al., 2022; Meng et al., 2022; Sarhan, 2024). In the ...
Are you interested in using category-theoretic methods to tackle problems in topics like quantum computation, machine learning, numerical analysis or graph theory? Then you might like the Adjoint ...
ABSTRACT: The inversion of a non-singular square matrix applying a Computer Algebra System (CAS) is straightforward. The CASs make the numeric computation efficient but mock the mathematical ...
Department of Mathematics and Computer Science, Virginia State University, Petersburg, VA, USA. for matrix inversion was initially proposed by Schultz in 1933 and studied by Pan and others. The ...
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