Pages that link to "Item:Q2447391"

The following pages link to A survey and comparison of contemporary algorithms for computing the matrix geometric mean (Q2447391):

Displaying 36 items.

• A monotone geometric mean for a class of Toeplitz matrices (Q331147) (← links)
• Incremental gradient method for Karcher mean on symmetric cones (Q511964) (← links)
• Scattered manifold-valued data approximation (Q522234) (← links)
• Moving averages on convex metric spaces (Q743184) (← links)
• A geometric mean for Toeplitz and Toeplitz-block block-Toeplitz matrices (Q1748083) (← links)
• Matrix geometric means based on shuffled inductive sequences (Q2002785) (← links)
• The complex step approximation to the higher order Fréchet derivatives of a matrix function (Q2035509) (← links)
• A Riemannian Newton trust-region method for fitting Gaussian mixture models (Q2066749) (← links)
• Optimization on matrix manifold based on gradient information and its applications in network control (Q2151061) (← links)
• An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization (Q2188245) (← links)
• Iteration-complexity and asymptotic analysis of steepest descent method for multiobjective optimization on Riemannian manifolds (Q2302754) (← links)
• Geometric means of structured matrices (Q2450888) (← links)
• An efficient damped Newton-type algorithm with globalization strategy on Riemannian manifolds (Q2667131) (← links)
• A limited-memory Riemannian symmetric rank-one trust-region method with a restart strategy (Q2674265) (← links)
• A trust region method for solving multicriteria optimization problems on Riemannian manifolds (Q2679565) (← links)
• Geometric means of quasi-Toeplitz matrices (Q2689524) (← links)
• The Kähler mean of block-Toeplitz matrices with Toeplitz structured blocks (Q2818271) (← links)
• Geometric Optimization in Machine Learning (Q2954275) (← links)
• On the Matrix Square Root via Geometric Optimization (Q3186698) (← links)
• The Derivative of the Matrix Geometric Mean with an Application to the Nonnegative Decomposition of Tensor Grids (Q3294687) (← links)
• First Order Methods for Optimization on Riemannian Manifolds (Q3300552) (← links)
• Averaging Symmetric Positive-Definite Matrices (Q3300555) (← links)
• Computing the Weighted Geometric Mean of Two Large-Scale Matrices and Its Inverse Times a Vector (Q4604562) (← links)
• (Q4972441) (← links)
• Continuation Methods for Riemannian Optimization (Q5081103) (← links)
• Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method (Q5140448) (← links)
• Geometric Matrix Midranges (Q5146701) (← links)
• A fast iterative method to find the matrix geometric mean of two HPD matrices (Q5205144) (← links)
• Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport (Q5231672) (← links)
• Gradient Method for Optimization on Riemannian Manifolds with Lower Bounded Curvature (Q5237307) (← links)
• Conic Geometric Optimization on the Manifold of Positive Definite Matrices (Q5252529) (← links)
• A Majorization-Minimization Algorithm for Computing the Karcher Mean of Positive Definite Matrices (Q5346759) (← links)
• Random matrix improved covariance estimation for a large class of metrics* (Q5857459) (← links)
• Finsler geometries on strictly accretive matrices (Q5888867) (← links)
• Riemannian optimization via Frank-Wolfe methods (Q6038651) (← links)
• Operator-valued formulas for Riemannian gradient and Hessian and families of tractable metrics in Riemannian optimization (Q6108977) (← links)