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Diminishing Stepsize Methods for Nonconv...

Facchinei, Francisco...

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Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case by Facchinei, Francisco ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	01-08-2023
Summary
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/2007.16024

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Facchinei, Francisco. Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case. Australian National University. August 01, 2023. Accessed November 01, 2024. https://online.provdatabase.com/cite/981

APA 7th EditionReferences

Facchinei, Francisco. (2023). Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case. Australian National University. https://online.provdatabase.com/cite/981

Chicago 17th EditionReferences

HarvardReferences

Facchinei, Francisco. (2023). Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/981. (Accessed 01 November 2024).

Harvard AustraliaReferences

Facchinei, Francisco, 2023, Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case, Australian National University, viewed 01 November 2024, <https://online.provdatabase.com/cite/981>

MLA 9th EditionWorks Cited

Facchinei, Francisco. Diminishing Stepsize Methods for Nonconvex Composite Problems via Ghost Penalties: from the General to the Convex Regular Constrained Case. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/981.

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