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Research Paper | Synapse
March 3, 2026
A restart derivative-free algorithm for solving pseudomonotone equations
AA
Auwal Bala Abubakar
HM
Hassan Mohammad
YK
Yunho Kim
Key Points
The proposed algorithm effectively addresses pseudomonotone equations using a derivative-free approach, leading to stable solutions.
Convergence rates measure performance improvements, with instances showing reductions in iteration counts by over 30%.
Assessment using fixed-point iteration demonstrates a reliable framework for optimization without requiring derivatives.
This study highlights the potential for further enhancements in derivative-free methods, reinforcing the need for innovative numerical strategies.
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Abubakar et al. (Fri,) studied this question.
synapsesocial.com/papers/69a7676ebadf0bb9e87e0dff
https://doi.org/https://doi.org/10.1016/j.apnum.2026.02.004