A structured RMIL conjugate gradient-based strategy for nonlinear least squares with applications in image restoration problems
Numerous scientific and technical domains have found use for nonlinear least squares (NLS). Conventional approaches to NLS problem solving often suffer from computational inefficiencies and high memory requirements, particularly when applied to large-scale systems. This paper presents the structured...
| Published in: | AIMS Mathematics |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-06-01
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| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2025668 |
