4.6 Article

AN ACCELERATED HYBRID PROXIMAL EXTRAGRADIENT METHOD FOR CONVEX OPTIMIZATION AND ITS IMPLICATIONS TO SECOND-ORDER METHODS

Related references

Note: Only part of the references are listed.
Article Mathematics, Applied

ITERATION-COMPLEXITY OF BLOCK-DECOMPOSITION ALGORITHMS AND THE ALTERNATING DIRECTION METHOD OF MULTIPLIERS

Renato D. C. Monteiro et al.

SIAM JOURNAL ON OPTIMIZATION (2013)

Article Mathematics, Applied

ITERATION-COMPLEXITY OF A NEWTON PROXIMAL EXTRAGRADIENT METHOD FOR MONOTONE VARIATIONAL INEQUALITIES AND INCLUSION PROBLEMS

Renato D. C. Monteiro et al.

SIAM JOURNAL ON OPTIMIZATION (2012)

Article Mathematics, Applied

ON THE COMPLEXITY OF THE HYBRID PROXIMAL EXTRAGRADIENT METHOD FOR THE ITERATES AND THE ERGODIC MEAN

Renato D. C. Monteiro et al.

SIAM JOURNAL ON OPTIMIZATION (2010)

Article Computer Science, Artificial Intelligence

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

Amir Beck et al.

SIAM JOURNAL ON IMAGING SCIENCES (2009)

Article Computer Science, Software Engineering

Accelerating the cubic regularization of Newton's method on convex problems

Yu. Nesterov

MATHEMATICAL PROGRAMMING (2008)

Article Computer Science, Software Engineering

Smooth minimization of non-smooth functions

Y Nesterov

MATHEMATICAL PROGRAMMING (2005)

Article Mathematics, Applied

Monotone operators representable by l.s.c. convex functions

JE Martínez-Legaz et al.

SET-VALUED ANALYSIS (2005)

Article Mathematics, Applied

A unified framework for some inexact proximal point algorithms

MV Solodov et al.

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION (2001)

Article Operations Research & Management Science

An inexact hybrid generalized proximal point algorithm and some new results on the theory of Bregman functions

MV Solodov et al.

MATHEMATICS OF OPERATIONS RESEARCH (2000)