An inertial spectral conjugate gradient projection method for constrained nonlinear pseudo-monotone equations-Reference-Cited by-同舟云学术

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An inertial spectral conjugate gradient projection method for constrained nonlinear pseudo-monotone equations

Published:2024-01-12 Issue: Volume: Page:
ISSN:1017-1398
Container-title:Numerical Algorithms
language:en
Short-container-title:Numer Algor

Author:

Liu Wenli,Jian Jinbao,Yin Jianghua

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11075-023-01736-1.pdf

Reference47 articles.

1. Facchinei, F., Pang, J.S.: Finite-dimensional variational inequalities and complementarity problems. vol-1. Springer, Berlin (2003)

2. Dirkse, S.P., Ferris, M.C.: MCPLIB: a collection of nonlinear mixed complementarity problems. Optim. Methods Softw. 5(4), 319–345 (1995)

3. Halilu, A.S., Majumder, A., Waziri, M.Y., Ahmed. K.: Signal recovery with convex constrained nonlinear monotone equations through conjugate gradient hybrid approach. Math. Comput. Simulation. 187, 520–539 (2021)

4. Wood, A.J., Wollenberg, B.F.: Power generation, operation, and control. Wiley, New York (1996)

5. Chorowski, J., Zurada, J.M.: Learning understandable neural networks with nonnegative weight constraints. IEEE Trans. Neural Netw. Learn. Syst. 26(1), 62–69 (2014)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An inertial Dai-Liao conjugate method for convex constrained monotone equations that avoids the direction of maximum magnification;Journal of Applied Mathematics and Computing;2024-05-27

2. An inertial Fletcher–Reeves-type conjugate gradient projection-based method and its spectral extension for constrained nonlinear equations;Journal of Applied Mathematics and Computing;2024-04-04

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