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Block Coordinate Descent Methods for Semidefinite Programming (Q2802537)

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Language	Label	Description	Also known as
English	Block Coordinate Descent Methods for Semidefinite Programming	scientific article

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scholarly article

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Block Coordinate Descent Methods for Semidefinite Programming (English)

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Donald Goldfarb

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Katya Scheinberg

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International Series in Operations Research & Management Science

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publication date

26 April 2016

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1007/978-1-4614-0769-0_19

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Second-order cone programming

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Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization

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Necessary and sufficient conditions for a penalty method to be exact

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Optimizing a polyhedral-semidefinite relaxation of completely positive programs

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A projected gradient algorithm for solving the maxcut SDP relaxation

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A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization

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Local minima and convergence in low-rank semidefinite programming

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Solving Lift-and-Project Relaxations of Binary Integer Programs

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Exact matrix completion via convex optimization

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A proximal-based deomposition method for compositions method for convex minimization problems

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On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

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Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization

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Sparse inverse covariance estimation with the graphical lasso

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Exploiting sparsity in primal-dual interior-point methods for semidefinite programming

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Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming

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Robust convex quadratically constrained programs

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Robust Portfolio Selection Problems

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Globally convergent block-coordinate techniques for unconstrained optimization

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On the convergence of the block nonlinear Gauss-Seidel method under convex constraints

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A new inexact alternating directions method for monotone variational inequalities

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Alternating direction method with self-adaptive penalty parameters for monotone variational inequalities

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A Spectral Bundle Method for Semidefinite Programming

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A Singular Value Thresholding Algorithm for Matrix Completion

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Proximal Decomposition Via Alternating Linearization

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A variable-penalty alternating directions method for convex optimization

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Coordinate descent optimization for \(l^{1}\) minimization with application to compressed sensing; a greedy algorithm

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On the convergence of the coordinate descent method for convex differentiable minimization

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Fixed point and Bregman iterative methods for matrix rank minimization

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Regularization Methods for Semidefinite Programming

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A boundary point method to solve semidefinite programs

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On search directions for minimization algorithms

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Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming

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Global and uniform convergence of subspace correction methods for some convex optimization problems

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Semidefinite optimization

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Dual coordinate ascent methods for non-strictly convex minimization

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Alternating Projection-Proximal Methods for Convex Programming and Variational Inequalities

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Convergence of a block coordinate descent method for nondifferentiable minimization

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Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization

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A coordinate gradient descent method for nonsmooth separable minimization

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Semidefinite Programming

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A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

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Alternating direction augmented Lagrangian methods for semidefinite programming

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Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

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Handbook of semidefinite programming. Theory, algorithms, and applications

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A descent method for structured monotone variational inequalities

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Solving semidefinite programming problems via alternating direction methods

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The Schur complement and its applications

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A Newton-CG Augmented Lagrangian Method for Semidefinite Programming

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Identifiers

zbMATH Open document ID

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10.1007/978-1-4614-0769-0_19

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:2802537

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