On a fixed-point continuation method for a convex optimization problem

Jean-Baptiste Fest; Tommi Heikkilä; Ignace Loris; Ségolène Martin; Luca Ratti; Simone Rebegoldi; Gesa Sarnighausen

doi:10.1007/978-981-97-6769-4_2

On a fixed-point continuation method for a convex optimization problem

Jean-Baptiste Fest
, Tommi Heikkilä
, Ignace Loris
, Ségolène Martin
, Luca Ratti
, Simone Rebegoldi
, Gesa Sarnighausen

Department of Mathematics and Statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI)
Editors	Alessandro Benfenati, Federica Porta, Tatiana Alessandra Bubba, Marco Viola
Number of pages	16
Publisher	Springer Singapore
Publication date	3 Oct 2024
Pages	15–30
ISBN (Print)	978-981-97-6768-7, 978-981-97-6771-7
ISBN (Electronic)	978-981-97-6769-4
DOIs	https://doi.org/10.1007/978-981-97-6769-4_2
Publication status	Published - 3 Oct 2024
MoE publication type	A4 Article in conference proceedings
Event	Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI): INdAM Workshop, Rome (Italy) - Rome, Rome, Italy Duration: 20 Jun 2022 → 24 Jun 2022 https://sites.google.com/view/atomi-workshop

Publication series

Name	Springer INdAM Series
Publisher	Springer
Volume	61
ISSN (Print)	2281-518X
ISSN (Electronic)	2281-5198

Fields of Science

111 Mathematics

Access to Document

10.1007/978-981-97-6769-4_2

Cite this

Fest, J.-B., Heikkilä, T., Loris, I., Martin, S., Ratti, L., Rebegoldi, S., & Sarnighausen, G. (2024). On a fixed-point continuation method for a convex optimization problem. In A. Benfenati, F. Porta, T. A. Bubba, & M. Viola (Eds.), Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI) (pp. 15–30). (Springer INdAM Series; Vol. 61). Springer Singapore. https://doi.org/10.1007/978-981-97-6769-4_2

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title = "On a fixed-point continuation method for a convex optimization problem",

keywords = "111 Mathematics",

author = "Jean-Baptiste Fest and Tommi Heikkil{\"a} and Ignace Loris and S{\'e}gol{\`e}ne Martin and Luca Ratti and Simone Rebegoldi and Gesa Sarnighausen",

year = "2024",

month = oct,

day = "3",

doi = "10.1007/978-981-97-6769-4\_2",

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isbn = "978-981-97-6768-7",

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booktitle = "Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI)",

address = "Singapore",

note = "Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI) ; Conference date: 20-06-2022 Through 24-06-2022",

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Fest, J-B, Heikkilä, T, Loris, I, Martin, S, Ratti, L, Rebegoldi, S & Sarnighausen, G 2024, On a fixed-point continuation method for a convex optimization problem. in A Benfenati, F Porta, TA Bubba & M Viola (eds), Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI). Springer INdAM Series, vol. 61, Springer Singapore, pp. 15–30, Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI), Rome, Italy, 20/06/2022. https://doi.org/10.1007/978-981-97-6769-4_2

On a fixed-point continuation method for a convex optimization problem. / Fest, Jean-Baptiste; Heikkilä, Tommi; Loris, Ignace et al.
Advanced Techniques in Optimization for Machine learning and Imaging (ATOMI). ed. / Alessandro Benfenati; Federica Porta; Tatiana Alessandra Bubba; Marco Viola. Springer Singapore, 2024. p. 15–30 (Springer INdAM Series; Vol. 61).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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T1 - On a fixed-point continuation method for a convex optimization problem

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AU - Heikkilä, Tommi

AU - Loris, Ignace

AU - Martin, Ségolène

AU - Ratti, Luca

AU - Rebegoldi, Simone

AU - Sarnighausen, Gesa

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