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March 3, 2026Numerische Mathematik0 citationsOpen Access

A preconditioned inverse iteration with an improved convergence guarantee

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FAFoivos AlimisisDKDaniel KressnerNSNian Shao

Key Points

  • Improved convergence rates were achieved using preconditioned inverse iteration.
  • The convergence guarantee outperforms standard inverse iteration approaches.
  • Analysis focuses on numerical methods for solving linear systems efficiently.
  • Highlights the importance of preconditioning in iterative algorithms for better performance.
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Cite This Study

Alimisis et al. (2026) studied this question.

synapsesocial.com/papers/69a75b25c6e9836116a21ed4https://doi.org/10.1007/s00211-026-01525-7
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