Pages that link to "Item:Q2902874"

The following pages link to Projection-like retractions on matrix manifolds (Q2902874):

Displaying 50 items.

• A variational approach of the rank function (Q356507) (← links)
• Low-rank tensor completion by Riemannian optimization (Q398628) (← links)
• A feasible filter method for the nearest low-rank correlation matrix problem (Q494667) (← links)
• Low-rank retractions: a survey and new results (Q496216) (← links)
• A framework of constraint preserving update schemes for optimization on Stiefel manifold (Q747775) (← links)
• A semi-analytical approach for the positive semidefinite Procrustes problem (Q1688909) (← links)
• Projected nonmonotone search methods for optimization with orthogonality constraints (Q1993600) (← links)
• A Riemannian conjugate gradient method for optimization on the Stiefel manifold (Q2012231) (← links)
• Stochastic approximation on Riemannian manifolds (Q2020323) (← links)
• Riemannian conjugate gradient methods with inverse retraction (Q2023689) (← links)
• Adaptive regularization with cubics on manifolds (Q2039233) (← links)
• Perturbation expansions and error bounds for the truncated singular value decomposition (Q2041768) (← links)
• The gradient projection algorithm for smooth sets and functions in nonconvex case (Q2045187) (← links)
• The gradient projection method with Armijo's step size on manifolds (Q2059547) (← links)
• Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
• A Riemannian gradient ascent algorithm with applications to orthogonal approximation problems of symmetric tensors (Q2085661) (← links)
• Riemannian conjugate gradient descent method for fixed multi rank third-order tensor completion (Q2095166) (← links)
• Avoiding bad steps in Frank-Wolfe variants (Q2111475) (← links)
• A geometric proximal gradient method for sparse least squares regression with probabilistic simplex constraint (Q2149159) (← links)
• Adaptive integration of nonlinear evolution equations on tensor manifolds (Q2161542) (← links)
• A geometric Gauss-Newton method for least squares inverse eigenvalue problems (Q2192604) (← links)
• A difference-of-convex approach for split feasibility with applications to matrix factorizations and outlier detection (Q2200085) (← links)
• Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis (Q2205985) (← links)
• Gradient projection method on matrix manifolds (Q2208495) (← links)
• On the gradient projection method for weakly convex functions on a proximally smooth set (Q2217258) (← links)
• A brief introduction to manifold optimization (Q2218094) (← links)
• Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds (Q2230688) (← links)
• Averaging on manifolds by embedding algorithm (Q2251280) (← links)
• A Riemannian subgradient algorithm for economic dispatch with valve-point effect (Q2252760) (← links)
• On matrix exponentials and their approximations related to optimization on the Stiefel manifold (Q2311200) (← links)
• Quadratic optimization with orthogonality constraint: explicit Łojasiewicz exponent and linear convergence of retraction-based line-search and stochastic variance-reduced gradient methods (Q2330648) (← links)
• Approximating the nearest stable discrete-time system (Q2419035) (← links)
• Cholesky QR-based retraction on the generalized Stiefel manifold (Q2419507) (← links)
• First-order methods almost always avoid strict saddle points (Q2425175) (← links)
• Geometric multiscale decompositions of dynamic low-rank matrices (Q2443077) (← links)
• A framework for generalising the Newton method and other iterative methods from Euclidean space to manifolds (Q2514241) (← links)
• Robust principal component pursuit via inexact alternating minimization on matrix manifolds (Q2515360) (← links)
• Nonmonotone inexact restoration approach for minimization with orthogonality constraints (Q2661684) (← links)
• Minimum-correction second-moment matching: theory, algorithms and applications (Q2662900) (← links)
• An efficient damped Newton-type algorithm with globalization strategy on Riemannian manifolds (Q2667131) (← links)
• A trust region method for solving multicriteria optimization problems on Riemannian manifolds (Q2679565) (← links)
• Riemannian optimization for high-dimensional tensor completion (Q2830626) (← links)
• Convergence Results for Projected Line-Search Methods on Varieties of Low-Rank Matrices Via Łojasiewicz Inequality (Q2954392) (← links)
• Adaptive Quadratically Regularized Newton Method for Riemannian Optimization (Q3176355) (← links)
• Sensor Network Localization on the Group of Three-Dimensional Displacements (Q3457100) (← links)
• Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport (Q4580294) (← links)
• A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints (Q4603042) (← links)
• The Condition Number of Join Decompositions (Q4604567) (← links)
• A non-monotone linear search algorithm with mixed direction on Stiefel manifold (Q4622892) (← links)
• High-Order Retractions on Matrix Manifolds Using Projected Polynomials (Q4643331) (← links)