Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion
نویسندگان
چکیده
منابع مشابه
Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion
We investigate a new algorithm for computing regularized solutions of the 2-D magnetotelluric inverse problem. The algorithm employs a nonlinear conjugate gradients (NLCG) scheme to minimize an objective function that penalizes data residuals and second spatial derivatives of resistivity. We compare this algorithm theoretically and numerically to two previous algorithms for constructing such “m...
متن کاملMultidimensional Algorithm for the Inversion of Magnetotelluric Measurements
J. Alvarez-Aramberri∗, D. Pardo and H. Barucq ∗ University of the Basque Country (UPV/EHU), Bilbao, Spain, Inria team-project Magique-3D, and LMA UMR 5142 UPPA, Pau, France, [email protected], https://sites.google.com/site/m2sigroup/. 2 Department of Applied Mathematics, Statistics, and Operational Research at the University of the Basque Country (UPV/EHU), and IKERBASQUE, Basqu...
متن کاملMagnetotelluric inversion for 2D anisotropic conductivity structures
We report on progress in developing a magnetotelluric inversion method for two-dimensional anisotropic conductivity distribution. A standard two-dimensional model is discretized into a number of rectangular cells, each with a constant conductivity tensor, and the solution of the inverse problem is obtained by minimizing a global objective functional consisting of data misfit, a structural const...
متن کاملInversion of Eddy - Current Data via Conjugate Gradients
In a companion paper, [1], we developed a rigorous, nonlinear model for inverting eddy-current data by means of the conjugate gradient algorithm. In this paper we will present some results obtained from the linearized version of the rigorous model. In this version we assume that the electric field within the flaw is simply the incident field that exists in the absence of the flaw. Hence, if we ...
متن کاملFinite-choice algorithm optimization in Conjugate Gradients∗
We present computational aspects of mathematically equivalent implementations of the Conjugate Gradient method. Since the implementations have different performance characteristics, but compute the same quantities, an adaptive implementation can at run time pick the optimal choice.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: GEOPHYSICS
سال: 2001
ISSN: 0016-8033,1942-2156
DOI: 10.1190/1.1444893