Iterative algorithms for processing experimental data

doi:10.1134/s1063780x16100081

DOE OSTI · 22614078

Iterative algorithms for processing experimental data

Abstract

The need to solve linear and nonlinear integral equations arise, e.g., in recovering plasma parameters from the data of multichannel diagnostics. The paper presents an iterative method for solving integral equations with a singularity at the upper limit of integration. The method consists in constructing successive approximations and calculating the integral by quadrature formulas in each integration interval. An example of application of the iterative algorithm to numerically solve an integral equation similar to those arising in recovering the plasma density profile from reflectometry data is presented.

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70 PLASMA PHYSICS AND FUSION TECHNOLOGY ALGORITHMS DATA PROCESSING EXPERIMENTAL DATA INTEGRAL EQUATIONS ITERATIVE METHODS NONLINEAR PROBLEMS PLASMA DENSITY QUADRATURES SINGULARITY

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2016-10-15. Iterative algorithms for processing experimental data. https://doi.org/10.1134/s1063780x16100081

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