Abstract
In this paper, we propose an algorithm for finding a zero of a pseudomonotone vector field with a convex constraint on a Hadamard manifold. This new method is the combination of the hyperplane projection method with specially constructed search directions. The global convergence property of this algorithm is established under the assumptions that the constructed halfspace is closed and convex, the tangent vector field is continuous, and the solution set is nonempty. Numerical experiments show the efficiency of this new derivative-free iterative method.
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Acknowledgements
We are very grateful to the two anonymous referees for their valuable comments on the paper, which have considerably improved the paper.
Funding
The research of Zhi Zhao is supported by the Zhejiang Provincial Natural Science Foundation of China (No. LY21A010010) and the National Natural Science Foundation of China (No. 11601112). The research of Ya-Guan Qian is supported by National Key R&D Program of China (No. 2018YFB2100400). The research of Teng-Teng Yao is supported by the Zhejiang Provincial Natural Science Foundation of China (No. LY21A010004) and The National Natural Science Foundation of China (No. 11701514).
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Zhao, Z., Zeng, Q., Xu, YN. et al. A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds. Numer Algor 93, 1209–1223 (2023). https://doi.org/10.1007/s11075-022-01464-y
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DOI: https://doi.org/10.1007/s11075-022-01464-y