Author

M. Kimiaei

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Preprint Sep 2026

Subspace methods for min-max problems

Four groups of subspace methods for nonlinear monotone equations, with applications to large-scale machine learning problems, using Jacobian-free subspace directions of conjugate-gradient type combined with either fixed step sizes or variable step sizes generated by the projected method of Solodov and Svaiter are intro...

M. Kimiaei, Shima Shabani, Michael Breuß · 0 citations

Open access Aug 2026

Enhanced Line Search Improves Robustness and Efficiency of Pose Sampling in Protein–Ligand Docking

An enhanced local optimization strategy based on curved line search (CLS) is introduced and integrated into AutoDock Vina, resulting in Vina_CLS, demonstrating that improved local optimization can substantially enhance docking performance.

Leo Gaskin, Matthias Welsch, J. Kirchmair et al. · Journal of Chemical Theory a... · 0 citations

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 · 0 citations