Abstract
In this paper, we propose a method via hybrid spectral conjugate gradient to solve nonlinear monotone equations and signal recovery problems. This has been done using the hybrid conjugate gradient (CG) parameters of Dai-Yuan (DY), conjugate descent (CD), Hestenes-Stiefel (HS), Liu-Storey (LS) and the corresponding search direction of spectral conjugate gradient method. The search direction has proved to be adequately descent regardless of the step-size. Under reasonable assumptions, the convergence of the algorithm is established. Additionally, numerical tests are run on a set of benchmark test problems to illustrate the effectiveness and competitiveness of the new algorithm compared with other existing alternatives. Finally, some applications of the proposed algorithm are explored.
| Original language | English |
|---|---|
| Article number | 49 |
| Journal | Operations Research Forum |
| Volume | 5 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2024 |
| Externally published | Yes |
Keywords
- Conjugate gradient method
- Global convergence
- Nonlinear monotone equations
- Numerical experiments
- Spectral gradient parameter
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