3D magnetotelluric inversion using a limited-memory quasi-Newton optimization

By D. Avdeev, A. Avdeeva. 2009

150 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/0c7136cfbe964abb362c45b3cda3dc556f88b340

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

1. Marion Jegen
2. Max Moorkamp

In Electrical and Electronic Engineering

1. Marion Jegen
2. Max Moorkamp
3. A. Avdeeva

In Geophysics

1. Marion Jegen
2. Max Moorkamp
3. A. Avdeeva
4. Bjørn Henning Heincke
5. A. Roberts
6. Richard W. Hobbs

Citations in the corpus

• ModEM: A modular system for inversion of electromagnetic geophysical data (2014, unknown): “…decade or so (notably, Newman and Alumbaugh, 2000; Zhdanov and Hursan, 2000; Haber et al., 2004; Newman and Boggs, 2004; Kelbert et al., 2008; Siripunvaraporn and Egbert, 2009; Avdeev and Avdeeva, 2009 and others; see also review papers Avdeev, 2005; Siripunvaraporn, 2011 and the overview in EK12).”
• A framework for 3-D joint inversion of MT, gravity and seismic refraction data (2011, methodology): “Using NLCG or L-BFGS we transform the gradient to a search direction pi, determine an optimum step length μ using the line search procedure of Moré & Thuente (1994) and update the current model mi+1 = mi + μpi .”
• Three-dimensional inversion of magnetotelluric impedance tensor data and full distortion matrix (2015, methodology): “As in Avdeev & Avdeeva (2009) ∂ϕd ∂σk = { NT∑ n=1 ∫ Vk tr [ uTn En ] dV } .”