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An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization
Research article (2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017) · cited 15× · AI/ML
An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization
Summary
An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization is a scholarly article[1].
Key Facts
An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-method-for-adapting-step-size-parameters-of-primal-dual-hybrid-gradient-method-in-application-to-total-vari
MLA“An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-method-for-adapting-step-size-parameters-of-primal-dual-hybrid-gradient-method-in-application-to-total-vari.
BibTeX@misc{4ortxyz_an-efficient-method-for-adapting-step-size-parameters-of-primal-dual-hybrid-gradient-method-in-application-to-total-vari_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-method-for-adapting-step-size-parameters-of-primal-dual-hybrid-gradient-method-in-application-to-total-vari}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient method for adapting step-size parameters of primal-dual hybrid gradient method in application to total variation regularization — https://4ort.xyz/entity/an-efficient-method-for-adapting-step-size-parameters-of-primal-dual-hybrid-gradient-method-in-application-to-total-vari (retrieved 2026-05-24)
