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Convergence rate results for steepest descent type method for nonlinear ill-posed equations
- Source :
- Applied Mathematics and Computation. 294:169-179
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Convergence rate result for a modified steepest descent method and a modified minimal error method for the solution of nonlinear ill-posed operator equation have been proved with noisy data. To our knowledge, convergence rate result for the steepest descent method and minimal error method with noisy data are not known. We provide a convergence rate results for these methods with noisy data. The result in this paper are obtained under less computational cost when compared to the steepest descent method and minimal error method. We present an academic example which satisfies the assumptions of this paper.
- Subjects :
- Well-posed problem
Mathematical optimization
Applied Mathematics
MathematicsofComputing_NUMERICALANALYSIS
010103 numerical & computational mathematics
01 natural sciences
010101 applied mathematics
Nonlinear conjugate gradient method
Computational Mathematics
Nonlinear system
Operator (computer programming)
Rate of convergence
Method of steepest descent
Applied mathematics
0101 mathematics
Descent direction
Gradient descent
Mathematics
Subjects
Details
- ISSN :
- 00963003
- Volume :
- 294
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics and Computation
- Accession number :
- edsair.doi...........8cc7f58d6e4bab820f74fc164bd18d0d
- Full Text :
- https://doi.org/10.1016/j.amc.2016.09.009