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Mirror descent and nonlinear projected subgradient methods for convex optimization

Type: Journal Paper

Author : Amir Beck; Marc Teboulle

Year: 2003

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Asymptotic cones and functions in optimization and variational inequalities

Type: Ebook

Author : Alfred Auslender; Marc Teboulle

Publisher: Springer

Year: 2002

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Asymptotic Cones and Functions in Optimization and Variational Inequalities

Type: Ebook

Author : Alfred Auslender; Marc Teboulle

Publisher: Springer

Year: 2010

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A fast dual proximal gradient algorithm for convex minimization and applications

Type: Journal Paper

Author : Amir Beck; Marc Teboulle

Year: 2014

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A proximal-based decomposition method for convex minimization problems

Type: Journal Paper

Author : Gong Chen; Marc Teboulle

Year: 1994

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Asymptotic Cones and Functions in Optimization and Variational Inequalities

Type: Ebook

Author : Alfred Auslender; Marc Teboulle (auth.)

Publisher: Springer New York

Year: 2003

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Grouping Multidimensional Data Recent Advances in Clustering

Type: Ebook

Author : Jacob Kogan; Charles Nicholas; Marc Teboulle

Publisher: Springer

Year: 2006

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An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems

Type: Journal Paper

Author : Amir Beck; Shoham Sabach; Marc Teboulle

Year: 2016

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Proximal alternating linearized minimization for nonconvex and nonsmooth problems

Type: Journal Paper

Author : Jérôme Bolte, Shoham Sabach, Marc Teboulle

Year: 2013

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A Logarithmic-Quadratic Proximal Method for Variational Inequalities

Type: Journal Paper

Author : Alfred Auslender; Marc Teboulle; Sami Ben-Tiba

Year: 1999

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Search

Mirror descent and nonlinear projected subgradient methods for convex optimization

Asymptotic cones and functions in optimization and variational inequalities

Asymptotic Cones and Functions in Optimization and Variational Inequalities

A fast dual proximal gradient algorithm for convex minimization and applications

A proximal-based decomposition method for convex minimization problems

Asymptotic Cones and Functions in Optimization and Variational Inequalities

Grouping Multidimensional Data Recent Advances in Clustering

An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems

Proximal alternating linearized minimization for nonconvex and nonsmooth problems

A Logarithmic-Quadratic Proximal Method for Variational Inequalities

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Mirror descent and nonlinear projected subgradient methods for convex optimization

Asymptotic cones and functions in optimization and variational inequalities

Asymptotic Cones and Functions in Optimization and Variational Inequalities

A fast dual proximal gradient algorithm for convex minimization and applications

A proximal-based decomposition method for convex minimization problems

Asymptotic Cones and Functions in Optimization and Variational Inequalities

Grouping Multidimensional Data Recent Advances in Clustering

An Alternating Semiproximal Method for Nonconvex Regularized Structured Total Least Squares Problems

Proximal alternating linearized minimization for nonconvex and nonsmooth problems

A Logarithmic-Quadratic Proximal Method for Variational Inequalities