Ergebnisse für: direct inversion
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This book looks into the Direct Current Resistivity Method and Induced Polarization (IP) techniques, essential for geophysical exploration. Covering both theoretical foundations and practical applications, it explores subsurface imaging, inversion modeling, and real-world case studies in mineral exp...
The nuclear shell model has had much success when describing nuclear structure. It is able to describe the single-particle states of nuclei, and gives understanding as to how nuclear structure evolves as the number of nucleons changes in a nucleus. This led to the discovery of the so-called magic nu...
This book looks into the Direct Current Resistivity Method and Induced Polarization (IP) techniques, essential for geophysical exploration. Covering both theoretical foundations and practical applications, it explores subsurface imaging, inversion modeling, and real-world case studies in mineral exp...
The authors consider dynamic types of inverse problems in which the additional information is given by the trace of the direct problem on a (usually time-like) surface of the domain. They discuss theoretical and numerical background of the finite-difference scheme inversion, the linearization m...
The authors consider dynamic types of inverse problems in which the additional information is given by the trace of the direct problem on a (usually time-like) surface of the domain. They discuss theoretical and numerical background of the finite-difference scheme inversion, the linearization method...
The nuclear shell model has had much success when describing nuclear structure. It is able to describe the single-particle states of nuclei, and gives understanding as to how nuclear structure evolves as the number of nucleons changes in a nucleus. This led to the discovery of the so-called magic nu...
The nuclear shell model has had much success when describing nuclear structure. It is able to describe the single-particle states of nuclei, and gives understanding as to how nuclear structure evolves as the number of nucleons changes in a nucleus. This led to the discovery of the so-called magic nu...
The well-known fast Fourier transform (FFT) is one of the most important and widely used algorithms in a multitude of disciplines including engineering, natural sciences, scientific computing, and signal processing. Nevertheless, its restriction to equispaced data represents a significant limitation...
The well-known fast Fourier transform (FFT) is one of the most important and widely used algorithms in a multitude of disciplines including engineering, natural sciences, scientific computing, and signal processing. Nevertheless, its restriction to equispaced data represents a significant limitation...
The representation of the Earth's surface in global monitoring and forecasting applications is moving towards capturing more of the relevant processes, while maintaining elevated computational efficiency and therefore a moderate complexity. These schemes are developed and continuously improved thank...