Preconditioned global GPBiCG method for solving saddle point problems with multiple right-hand sides and its convergence analysis
Iranian Journal of Numerical Analysis and Optimization, ISSN: 2423-6969, Vol: 12, Issue: 1, Page: 111-129
2022
- 2Citations
- 1Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
We propose the preconditioned global generalized product-type method based on the preconditioned global BiCG method to solve nonsymmetric saddle point problems with multiple right-hand sides. We apply an indefinite preconditioner to enhance the convergence rate of the method. We also present some theoretical analysis and discuss the convergence of the PGl-GPBiCG method. Some useful properties of the preconditioned matrix are established. Moreover, we present the bounds for the residual norm of the PGl-GPBiCG method according to the residual norm of the global GMRES method that guarantees convergence. Finally, some numerical examples are presented to show the efficiency of the new method in comparison with the preconditioned global BiCGSTAB method, and a comparison with another preconditioner is also provided.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know