Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
scientific article; zbMATH DE number 5239114 - MaRDI portal

scientific article; zbMATH DE number 5239114

From MaRDI portal
Publication:5442492

zbMath1136.90026MaRDI QIDQ5442492

Kim-Chuan Toh, Michael J. Todd, Reha H. Tütüncü

Publication date: 22 February 2008


Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items

On how to solve large-scale log-determinant optimization problems, Correlation stress testing for value-at-risk: an unconstrained convex optimization approach, A full Nesterov-Todd-step feasible primal-dual interior point algorithm for convex quadratic semi-definite optimization, Solving \(k\)-cluster problems to optimality with semidefinite programming, Newton's method for computing the nearest correlation matrix with a simple upper bound, Solving graph equipartition SDPs on an algebraic variety, A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming, Numerical solution of a class of quasi-linear matrix equations, A unified kernel function approach to primal-dual interior-point algorithms for convex quadratic SDO, Convergence of a weighted barrier algorithm for stochastic convex quadratic semidefinite optimization, Inexact SA method for constrained stochastic convex SDP and application in Chinese stock market, Primal-dual interior-point algorithm for convex quadratic semi-definite optimization, A Three-Operator Splitting Perspective of a Three-Block ADMM for Convex Quadratic Semidefinite Programming and Beyond, QSDPNAL: a two-phase augmented Lagrangian method for convex quadratic semidefinite programming, An inexact spectral bundle method for convex quadratic semidefinite programming, On the low rank solution of the Q‐weighted nearest correlation matrix problem, A Polynomial-time Interior-point Algorithm for Convex Quadratic Semidefinite Optimization, An inexact primal-dual path following algorithm for convex quadratic SDP, Positive semidefinite matrix completions on chordal graphs and constraint nondegeneracy in semidefinite programming, A strategy of global convergence for the affine scaling algorithm for convex semidefinite programming, QSDP, Block relaxation and majorization methods for the nearest correlation matrix with factor structure, A semidefinite programming approach for the projection onto the cone of negative semidefinite symmetric tensors with applications to solid mechanics


Uses Software