Pages that link to "Item:Q101635"

The following pages link to A feasible method for optimization with orthogonality constraints (Q101635):

Displaying 50 items.

• An efficient PGM-based algorithm with backtracking strategy for solving quadratic optimization problems with spherical constraint (Q2104089) (← links)
• Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold (Q2112688) (← links)
• Structured low-rank approximation: optimization on matrix manifold approach (Q2114475) (← links)
• \(p\)-almost Hadamard matrices and \(\lambda\)-planes (Q2114776) (← links)
• Finding the global optimum of a class of quartic minimization problem (Q2114839) (← links)
• A block coordinate descent method for sensor network localization (Q2119759) (← links)
• A parallel orbital-updating based optimization method for electronic structure calculations (Q2133051) (← links)
• A variational framework for computing Wannier functions using dictionary learning (Q2133725) (← links)
• Conditional variance estimator for sufficient dimension reduction (Q2137046) (← links)
• Minimal \(\sigma\)-field for flexible sufficient dimension reduction (Q2137787) (← links)
• On the branch and bound algorithm for the extended trust-region subproblem (Q2141723) (← links)
• Optimization on flag manifolds (Q2149562) (← links)
• Optimal thermal actuation for mirror temperature control (Q2160423) (← links)
• Inertial alternating direction method of multipliers for non-convex non-smooth optimization (Q2162531) (← links)
• Riemannian conjugate gradient methods for computing the extreme eigenvalues of symmetric tensors (Q2163582) (← links)
• A Riemannian optimization approach for solving the generalized eigenvalue problem for nonsquare matrix pencils (Q2177925) (← links)
• Second order optimality on orthogonal Stiefel manifolds (Q2183089) (← links)
• Transportless conjugate gradient for optimization on Stiefel manifold (Q2185047) (← links)
• Robust manifold broad learning system for large-scale noisy chaotic time series prediction: a perturbation perspective (Q2185604) (← links)
• Non-monotone inexact restoration method for nonlinear programming (Q2191795) (← links)
• Effective algorithms for solving trace minimization problem in multivariate statistics (Q2196916) (← links)
• Dimensionality reduction for binary data through the projection of natural parameters (Q2201560) (← links)
• Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis (Q2205985) (← links)
• Compressive sensing adaptation for polynomial chaos expansions (Q2214527) (← links)
• On the generalized essential matrix correction: an efficient solution to the problem and its applications (Q2217377) (← links)
• A brief introduction to manifold optimization (Q2218094) (← links)
• Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds (Q2230688) (← links)
• Solving the discrete Euler-Arnold equations for the generalized rigid body motion (Q2237926) (← links)
• Convolutional proximal neural networks and plug-and-play algorithms (Q2238870) (← links)
• Model-based clustering with envelopes (Q2283589) (← links)
• Continuous relaxations for the traveling salesman problem (Q2296989) (← links)
• A derivative-free algorithm for spherically constrained optimization (Q2307754) (← links)
• On matrix exponentials and their approximations related to optimization on the Stiefel manifold (Q2311200) (← links)
• Global optimization with orthogonality constraints via stochastic diffusion on manifold (Q2316261) (← links)
• Improved row-by-row method for binary quadratic optimization problems (Q2327692) (← 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)
• Nonconvex and nonsmooth optimization with generalized orthogonality constraints: an approximate augmented Lagrangian method (Q2399164) (← links)
• Computing extreme eigenvalues of large scale Hankel tensors (Q2399200) (← links)
• Sparse variational Bayesian approximations for nonlinear inverse problems: applications in nonlinear elastography (Q2414583) (← links)
• Orthogonal optimal reverse prediction for semi-supervised learning (Q2417838) (← links)
• Entropy of orthogonal matrices and minimum distance orthostochastic matrices from the uniform van der Waerden matrices (Q2419364) (← links)
• Nonmonotone inexact restoration approach for minimization with orthogonality constraints (Q2661684) (← links)
• Minimum-correction second-moment matching: theory, algorithms and applications (Q2662900) (← links)
• An approximation method of CP rank for third-order tensor completion (Q2662903) (← links)
• An efficient damped Newton-type algorithm with globalization strategy on Riemannian manifolds (Q2667131) (← links)
• Multiple partitions alignment via spectral rotation (Q2673325) (← links)
• Implicit steepest descent algorithm for optimization with orthogonality constraints (Q2673531) (← links)
• An exact penalty approach for optimization with nonnegative orthogonality constraints (Q2687065) (← links)
• Estimation and order selection for multivariate exponential power mixture models (Q2692915) (← links)
• A two-level distributed algorithm for nonconvex constrained optimization (Q2696920) (← links)