Pages that link to "Item:Q1105980"

The following pages link to Computing a nearest symmetric positive semidefinite matrix (Q1105980):

Displaying 50 items.

• Painless breakups -- efficient demixing of low rank matrices (Q1710648) (← links)
• Proximal alternating direction method with relaxed proximal parameters for the least squares covariance adjustment problem (Q1724494) (← links)
• Iterative algorithm for solving a class of convex feasibility problem (Q1736385) (← links)
• A box regularized particle filter for state estimation with severely ambiguous and non-linear measurements (Q1737913) (← links)
• Approximation algorithms from inexact solutions to semidefinite programming relaxations of combinatorial optimization problems (Q1751224) (← links)
• Lyapunov-type least-squares problems over symmetric cones (Q1758453) (← links)
• The inverse eigenvalue problem for Hermitian anti-reflexive matrices and its approximation (Q1765874) (← links)
• Stability analysis of discrete singular fuzzy systems (Q1770777) (← links)
• Linear matrix equations from an inverse problem of vibration theory (Q1816928) (← links)
• Least-square solutions for inverse problems of centrosymmetric matrices (Q1827241) (← links)
• The solvability conditions for the inverse eigenvalue problems of centro-symmetric matrices (Q1870070) (← links)
• Alternating convex projection methods for discrete-time covariance control design (Q1908638) (← links)
• Low-order control design for LMI problems using alternating projection methods (Q1923044) (← links)
• A regularized Newton method for degenerate unconstrained optimization problems (Q1926636) (← links)
• The nearest definite pair for the Hermitian generalized eigenvalue problem (Q1970433) (← links)
• Spatio-temporal change of support modeling with \texttt{R} (Q1995874) (← links)
• A feasible \(k\)-means kernel trick under non-Euclidean feature space (Q2023581) (← links)
• Resource allocation for contingency planning: an inexact proximal bundle method for stochastic optimization (Q2030665) (← links)
• Geometric adaptive Monte Carlo in random environment (Q2072631) (← links)
• A three-step local smoothing approach for estimating the mean and covariance functions of spatio-temporal data (Q2075448) (← links)
• Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models (Q2075731) (← links)
• Comparing unconstrained parametrization methods for return covariance matrix prediction (Q2084329) (← links)
• A semidefinite programming approach for the projection onto the cone of negative semidefinite symmetric tensors with applications to solid mechanics (Q2089080) (← links)
• Second-order cone and semidefinite methods for the bisymmetric matrix approximation problem (Q2091722) (← links)
• Homogenisation for the monodomain model in the presence of microscopic fibrotic structures (Q2094414) (← links)
• Projection and contraction method for updating simultaneously mass and stiffness matrices (Q2109626) (← links)
• Diffusion tensor regularization with metric double integrals (Q2122154) (← links)
• Bayesian nonparametric multivariate spatial mixture mixed effects models with application to American Community Survey special tabulations (Q2135345) (← links)
• Manifold valued data analysis of samples of networks, with applications in corpus linguistics (Q2135359) (← links)
• Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation (Q2156815) (← links)
• Variance reduction in covariance based realization algorithm with application to closed-loop data (Q2173903) (← links)
• Outer-product-free sets for polynomial optimization and oracle-based cuts (Q2196293) (← links)
• An efficient method for clustered multi-metric learning (Q2200672) (← links)
• Further results on Moore-Penrose inverses of tensors with application to tensor nearness problems (Q2203816) (← links)
• Controlled sequential Monte Carlo (Q2215764) (← links)
• Modified Douglas splitting method for differential matrix equations (Q2222063) (← links)
• Measuring the stability of spectral clustering (Q2228130) (← links)
• Strengthened splitting methods for computing resolvents (Q2231047) (← links)
• Iterative Tikhonov regularization of tensor equations based on the Arnoldi process and some of its generalizations (Q2301408) (← links)
• MDCGen: multidimensional dataset generator for clustering (Q2304095) (← links)
• Evaluation of Galerkin and Petrov-Galerkin model reduction for finite element approximations of the shallow water equations (Q2309775) (← links)
• Arnoldi decomposition, GMRES, and preconditioning for linear discrete ill-posed problems (Q2311788) (← links)
• Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata (Q2346642) (← links)
• Properties of linear approximations of matrices in the spectral norm (Q2365673) (← links)
• A calibration method for non-positive definite covariance matrix in multivariate data analysis (Q2397127) (← links)
• A fixed-point method for approximate projection onto the positive semidefinite cone (Q2400246) (← links)
• Approximating the nearest stable discrete-time system (Q2419035) (← links)
• Dual approaches to finite element model updating (Q2428104) (← links)
• An iterative method for the least squares symmetric solution of matrix equation \(AXB = C\) (Q2431790) (← links)
• On the implementation of the eigenvalue method for limit cycle determination in nonlinear systems (Q2432375) (← links)