The following pages link to (Q5433140):
Displaying 50 items.
- Curve based approximation of measures on manifolds by discrepancy minimization (Q2067682) (← links)
- The Riemannian two-step perturbed Gauss-Newton method for least squares inverse eigenvalue problems (Q2068647) (← links)
- A Riemannian rank-adaptive method for low-rank matrix completion (Q2070331) (← links)
- Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
- Tensor Q-rank: new data dependent definition of tensor rank (Q2071330) (← links)
- Optimality conditions and duality for multiobjective semi-infinite programming on Hadamard manifolds (Q2079806) (← links)
- Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds (Q2080822) (← links)
- Global convergence of Riemannian line search methods with a Zhang-Hager-type condition (Q2084256) (← links)
- A Krylov-Schur-like method for computing the best rank-\((r_1,r_2,r_3)\) approximation of large and sparse tensors (Q2084262) (← links)
- A Riemannian gradient ascent algorithm with applications to orthogonal approximation problems of symmetric tensors (Q2085661) (← links)
- Newton-type methods for simultaneous matrix diagonalization (Q2089086) (← links)
- Convergence rate of block-coordinate maximization Burer-Monteiro method for solving large SDPs (Q2089773) (← links)
- On the geometric analysis of a quartic-quadratic optimization problem under a spherical constraint (Q2089778) (← links)
- First- and second-order analysis for optimization problems with manifold-valued constraints (Q2093286) (← links)
- On generalizing trace minimization principles (Q2093530) (← links)
- High-order integrators for Lagrangian systems on homogeneous spaces via nonholonomic mechanics (Q2095146) (← links)
- Maximizing sum of coupled traces with applications (Q2095802) (← links)
- Sensitivity of low-rank matrix recovery (Q2100520) (← links)
- Global convergence of Hager-Zhang type Riemannian conjugate gradient method (Q2101972) (← links)
- Spline estimation of functional principal components via manifold conjugate gradient algorithm (Q2103990) (← links)
- A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold (Q2104059) (← links)
- An efficient PGM-based algorithm with backtracking strategy for solving quadratic optimization problems with spherical constraint (Q2104089) (← links)
- Stable recovery of entangled weights: towards robust identification of deep neural networks from minimal samples (Q2105108) (← links)
- Nonlinear matrix recovery using optimization on the Grassmann manifold (Q2105129) (← links)
- Hierarchical compressed sensing (Q2106467) (← links)
- Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold (Q2112688) (← links)
- A Riemannian under-determined BFGS method for least squares inverse eigenvalue problems (Q2114114) (← links)
- Structured low-rank approximation: optimization on matrix manifold approach (Q2114475) (← links)
- \(p\)-almost Hadamard matrices and \(\lambda\)-planes (Q2114776) (← links)
- Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method (Q2114817) (← links)
- Efficient quasi-geodesics on the Stiefel manifold (Q2117940) (← links)
- Geometry of the symplectic Stiefel manifold endowed with the Euclidean metric (Q2117948) (← links)
- Procrustes analysis with deformations: a closed-form solution by eigenvalue decomposition (Q2118423) (← links)
- A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction (Q2124749) (← links)
- Multiway \(p\)-spectral graph cuts on Grassmann manifolds (Q2127266) (← links)
- Parameter estimation and model-based clustering with spherical normal distribution on the unit hypersphere (Q2129606) (← links)
- Accelerated optimization on Riemannian manifolds via discrete constrained variational integrators (Q2134934) (← links)
- Conditional variance estimator for sufficient dimension reduction (Q2137046) (← links)
- Consistency and asymptotic normality of M-estimates of scatter on Grassmann manifolds (Q2140874) (← links)
- On the optimization landscape of tensor decompositions (Q2144549) (← links)
- Extracting a low-dimensional predictable time series (Q2147946) (← links)
- Constrained high-index saddle dynamics for the solution landscape with equality constraints (Q2148119) (← links)
- A geometric proximal gradient method for sparse least squares regression with probabilistic simplex constraint (Q2149159) (← links)
- Riemannian proximal gradient methods (Q2149554) (← links)
- Sparse optimization on measures with over-parameterized gradient descent (Q2149558) (← links)
- Optimization on flag manifolds (Q2149562) (← links)
- Particle number conservation and block structures in matrix product states (Q2149943) (← links)
- DC semidefinite programming and cone constrained DC optimization. I: Theory (Q2149953) (← links)
- Optimization on matrix manifold based on gradient information and its applications in network control (Q2151061) (← links)
- Near-optimal performance bounds for orthogonal and permutation group synchronization via spectral methods (Q2155796) (← links)
