Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing

Research article (Journal of Applied Mathematics and Computing, 2021) · cited 31× · AI/ML
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Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing

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Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing. Retrieved May 24, 2026, from https://4ort.xyz/entity/two-sufficient-descent-three-term-conjugate-gradient-methods-for-unconstrained-optimization-problems-with-applications-i
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BibTeX @misc{4ortxyz_two-sufficient-descent-three-term-conjugate-gradient-methods-for-unconstrained-optimization-problems-with-applications-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing}}, year = {2026}, url = {https://4ort.xyz/entity/two-sufficient-descent-three-term-conjugate-gradient-methods-for-unconstrained-optimization-problems-with-applications-i}, note = {Accessed: 2026-05-24}}
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