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2025, Vol. 10, Issue 1, Part B

Stability of iterative algorithms in inner product spaces: An analysis based on the Cauchy-schwarz inequality


Author(s): Sher Singh Raikhola

Abstract: This paper examines the role of the Cauchy-Schwarz inequality in ensuring the stability of iterative algorithms within inner product spaces. The inequality ∣⟨ݑ¢, ݑâߩ∣ ≤ ∥ݑ¢ȥ⋅∥ݑâȥ provides a fundamental bound on the inner product of two vectors, influencing the convergence and stability of various iterative methods employed in computational mathematics and numerical analysis.

DOI: 10.22271/maths.2025.v10.i1b.1964

Pages: 195-202 | Views: 33 | Downloads: 1

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Sher Singh Raikhola. Stability of iterative algorithms in inner product spaces: An analysis based on the Cauchy-schwarz inequality. Int J Stat Appl Math 2025;10(1):195-202. DOI: 10.22271/maths.2025.v10.i1b.1964

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International Journal of Statistics and Applied Mathematics