The following pages link to (Q5433140):
Displaying 50 items.
- Barankin, McAulay-Seidman and Cramér-Rao bounds on matrix Lie groups (Q6136147) (← links)
- Time-Varying Semidefinite Programming: Path Following a Burer–Monteiro Factorization (Q6136653) (← links)
- Variational Characterization of Monotone Nonlinear Eigenvector Problems and Geometry of Self-Consistent Field Iteration (Q6139650) (← links)
- Motion detection in diffraction tomography by common circle methods (Q6140847) (← links)
- Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem (Q6141535) (← links)
- Numerical geometric acoustics: an eikonal-based approach for modeling sound propagation in 3D environments (Q6147085) (← links)
- Constraint qualifications and optimality criteria for nonsmooth multiobjective programming problems on Hadamard manifolds (Q6150648) (← links)
- A Riemannian Inertial Mann Algorithm for Nonexpansive Mappings on Hadamard Manifolds (Q6151341) (← links)
- A Block Lanczos Method for Large-Scale Quadratic Minimization Problems with Orthogonality Constraints (Q6154199) (← links)
- Multiobjective BFGS method for optimization on Riemannian manifolds (Q6155056) (← links)
- A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds (Q6156122) (← links)
- Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions (Q6156314) (← links)
- BEC2HPC: a HPC spectral solver for nonlinear Schrödinger and rotating Gross-Pitaevskii equations. Stationary states computation (Q6156389) (← links)
- Riemannian thresholding methods for row-sparse and low-rank matrix recovery (Q6157448) (← links)
- Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis (Q6158000) (← links)
- Proximal quasi-Newton method for composite optimization over the Stiefel manifold (Q6159020) (← links)
- Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats (Q6159076) (← links)
- A multi-parameter family of metrics on Stiefel manifolds and applications (Q6160676) (← links)
- Time-adaptive Lagrangian variational integrators for accelerated optimization (Q6160678) (← links)
- Discrete Dirac reduction of implicit Lagrangian systems with abelian symmetry groups (Q6160682) (← links)
- A Geodesic Interior-Point Method for Linear Optimization over Symmetric Cones (Q6161308) (← links)
- Memoryless quasi-Newton methods based on the spectral-scaling Broyden family for Riemannian optimization (Q6161550) (← links)
- Trace ratio optimization with an application to multi-view learning (Q6165582) (← links)
- An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization (Q6165592) (← links)
- Accelerating inexact successive quadratic approximation for regularized optimization through manifold identification (Q6165598) (← links)
- Euclidean Representation of Low-Rank Matrices and Its Geometric Properties (Q6166054) (← links)
- An adaptive Riemannian gradient method without function evaluations (Q6167088) (← links)
- Multiobjective conjugate gradient methods on Riemannian manifolds (Q6167092) (← links)
- Data-driven reduced order models using invariant foliations, manifolds and autoencoders (Q6168858) (← links)
- Rank-1 Matrix Differential Equations for Structured Eigenvalue Optimization. (Q6171373) (← links)
- Near-optimal bounds for generalized orthogonal Procrustes problem via generalized power method (Q6172167) (← links)
- A variance-reduced stochastic gradient tracking algorithm for decentralized optimization with orthogonality constraints (Q6175371) (← links)
- Envelopes and principal component regression (Q6184884) (← links)
- A Grassmann manifold handbook: basic geometry and computational aspects (Q6184997) (← links)
- Optimization on the symplectic Stiefel manifold: SR decomposition-based retraction and applications (Q6185976) (← links)
- Optimality conditions for Tucker low-rank tensor optimization (Q6188055) (← links)
- Geometric methods for adjoint systems (Q6188984) (← links)
- Weighted Trace-Penalty Minimization for Full Configuration Interaction (Q6189167) (← links)
- Riemannian Natural Gradient Methods (Q6189169) (← links)
- Lagrangian and Hamiltonian dynamics for probabilities on the statistical bundle (Q6191594) (← links)
- A Discretize-then-Optimize Approach to PDE-Constrained Shape Optimization (Q6192288) (← links)
- Iterative Method with Inertia for Variational Inequalities on Hadamard Manifolds with Lower Bounded Curvature (Q6192641) (← links)
- A Riemannian Proximal Newton Method (Q6202763) (← links)
- Linear Programming on the Stiefel Manifold (Q6202765) (← links)
- Multi-view clustering with adaptive procrustes on Grassmann manifold (Q6203491) (← links)
- Learning a discriminative SPD manifold neural network for image set classification (Q6488690) (← links)
- Embedding graphs on Grassmann manifold (Q6488709) (← links)
- Optimality conditions and duality for mathematical programming with equilibrium constraints including multiple interval-valued objective functions on Hadamard manifolds (Q6498442) (← links)
- Stochastic Gauss-Seidel type inertial proximal alternating linearized minimization and its application to proximal neural networks (Q6540474) (← links)
- Practical gradient and conjugate gradient methods on flag manifolds (Q6541374) (← links)
