Preprint
Jun 2026
An Approximate Conjugate Subgradient Algorithm with Matrix Parameter for Derivative-Free Nonsmooth Optimization Problems
Numerical experiments on nonsmooth test problems with dimensions up to 1000 show that both proposed variants are robust for lower and medium accuracy requirements, while the matrix conjugate-subgradient variant remains the most reliable under the strictest tolerance.
M. Kimiaei, Saman Babaie--Kafaki, Z. Aminifard
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