Sufficient Conditions for Error Distance Reduction in the (ℓ2)-norm Trust Region between Minimizers of Local Nonconvex Multivariate Quadratic Approximates
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Abstract (arXiv)
This paper analyzes the sufficient conditions for distance reduction between minimizers of local nonconvex quadratic approximate functions with diagonal Hessian in the (ℓ2)-norm trust regions after two iterations. Some examples illustrate the theoretical results of this study.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 9 Oct 2023.
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