Accelerated convergence of the steepest-descent method for magnetohydrodynamic equilibria
Iterative schemes based on the method of steepest descent have recently been used to obtain magnetohydrodynamic (MHD) equilibria. Such schemes generate asymptotic geometric vector sequences whose convergence rate can be improved through the use of the epsilon-algorithm. The application of this nonlinear recursive technique to stiff systems is discussed. In principle, the epsilon-algorithm is capable of yielding quadratic convergence and therefore represents an attractive alternative to other quadratic convergence schemes requiring Jacobian matrix inversion. Because the damped MHD equations have eigenvalues with negative real parts (in the neighborhood of a stable equilibrium), the epsilon-algorithm will generally be stable. Concern for residual monotonic sequences leads to consideration of alternative methods for implementing the algorithm.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 7045611
- Report Number(s):
- ORNL/TM-9133; ON: DE84013602
- Resource Relation:
- Other Information: Portions are illegible in microfiche products. Original copy available until stock is exhausted
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
EQUILIBRIUM PLASMA
ITERATIVE METHODS
MAGNETOHYDRODYNAMICS
ALGORITHMS
ANALYTICAL SOLUTION
EIGENVALUES
NONLINEAR PROBLEMS
FLUID MECHANICS
HYDRODYNAMICS
MATHEMATICAL LOGIC
MECHANICS
PLASMA
700105* - Fusion Energy- Plasma Research- Plasma Kinetics-Theoretical- (-1987)