Adaptive three-term family of conjugate residual methods for system of monotone nonlinear equations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Statistics, Probability and Uncertainty,General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40863-022-00293-0.pdf
Reference91 articles.
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2. Xiao, Y., Zhu, H.: A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing. J. Math. Anal. Appl. 405, 310–319 (2013)
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. Comp. Simul. 187, 520–539 (2021)
4. Halilu, A.S., Majumder, A., Waziri, M.Y., Awwal, A.M., Ahmed, K.: On solving double direction methods for convex constrained monotone nonlinear equations with image restoration. Comput. Appl. Math. 40, 1–27 (2021)
5. Waziri, M.Y., Ahmed, K., Halilu, A.S., Sabiu, J.: Two new Hager-Zhang iterative schemes with improved parameter choices for monotone nonlinear systems and their applications in compressed sensing. Rairo Oper. Res. https://doi.org/10.1051/ro/2021190
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