A method for weighted projections to the positive definite cone
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Publication:3453401
DOI10.1080/02331934.2014.929680zbMath1327.90182OpenAlexW2027991864MaRDI QIDQ3453401
Publication date: 27 November 2015
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2014.929680
Semidefinite programming (90C22) Interior-point methods (90C51) Biomedical imaging and signal processing (92C55)
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Cites Work
- Solving semidefinite-quadratic-linear programs using SDPT3
- A large-update feasible interior-point algorithm for convex quadratic semi-definite optimization based on a new kernel function
- A modified alternating direction method for convex quadratically constrained quadratic semidefinite programs
- Kernel-based interior-point methods for monotone linear complementarity problems over symmetric cones
- A new full Nesterov-Todd step feasible interior-point method for convex quadratic symmetric cone optimization
- Primal-dual interior-point algorithm for convex quadratic semi-definite optimization
- An inexact primal-dual path following algorithm for convex quadratic SDP
- The Minnesota notes on Jordan algebras and their applications. Edited and annotated by Aloys Krieg and Sebastian Walcher
- Local convergence of interior-point algorithms for degenerate monotone LCP
- Linear systems in Jordan algebras and primal-dual interior-point algorithms
- Local convergence of predictor-corrector infeasible-interior-point algorithms for SDPs and SDLCPs
- Euclidean Jordan algebras and interior-point algorithms
- Extension of primal-dual interior point algorithms to symmetric cones
- Predictor-corrector smoothing Newton method, based on a new smoothing function, for solving the nonlinear complementarity problem with a \(P_0\) function
- Second-order cone programming
- Interior-point methods
- Self-regular functions and new search directions for linear and semidefinite optimization
- A first-order primal-dual algorithm for convex problems with applications to imaging
- The accuracy of interior-point methods based on kernel functions
- Solving semidefinite programming problems via alternating direction methods
- Associative and Jordan Algebras, and Polynomial Time Interior-Point Algorithms for Symmetric Cones
- TGV for diffusion tensors: A comparison of fidelity functions
- Total Generalized Variation in Diffusion Tensor Imaging
- Graph Implementations for Nonsmooth Convex Programs
- A Polynomial-time Interior-point Algorithm for Convex Quadratic Semidefinite Optimization
- A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
- Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices
- Polynomial Convergence of Primal-Dual Algorithms for Semidefinite Programming Based on the Monteiro and Zhang Family of Directions
- Primal-Dual Interior-Point Methods for Self-Scaled Cones
- SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
- Polynomial Convergence of a New Family of Primal-Dual Algorithms for Semidefinite Programming
- Semidefinite Programs: New Search Directions, Smoothing-Type Methods, and Numerical Results
- An Inexact Accelerated Proximal Gradient Method for Large Scale Linearly Constrained Convex SDP
- Extension of primal-dual interior point methods to diff-convex problems on symmetric cones
- A predictor--corrector algorithm for QSDP combining Dikin-type and Newton centering steps
