A Riemannian perspective on matrix recovery and constrained optimization

A Riemannian perspective on matrix recovery and constrained optimization

<p>Nonlinear matrix recovery is an emerging paradigm in which specific classes of high-rank matrices can be recovered from an underdetermined linear system of measurements. In particular, we consider matrices whose columns, seen as data points, belong to an algebraic variety, namely, a set def...

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Bibliografiske detaljer
Hovedforfatter:	Goyens, F
Andre forfattere:	Cartis, C
Format:	Thesis
Sprog:	English
Udgivet:	2021
Fag:	Numerical analysis

Lignende værker

Nonlinear matrix recovery using optimization on the Grassmann manifold
af: Goyens, F, et al.
Udgivet: (2022)

Control perspectives on numerical algorithms and matrix problems /
af: 444990 Bhaya, Amit, et al.
Udgivet: (2006)

Basis set approach in the constrained interpolation profile method /
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Udgivet: (2003)

Fast iterative solvers for PDE-constrained optimization problems
af: Pearson, J
Udgivet: (2013)

Efficient algorithms for compressed sensing and matrix completion
af: Wei, K
Udgivet: (2014)

Enhancing the Harmony Search Algorithm Performance on Constrained Numerical Optimization
af: Edgar Alfredo Portilla-Flores, et al.
Udgivet: (2017-01-01)

On low-rank plus sparse matrix sensing
af: Vary, S
Udgivet: (2021)

Riemannian Gradient Algorithm for the Numerical Solution of Linear Matrix Equations
af: Xiaomin Duan, et al.
Udgivet: (2014-01-01)

Riemannian Gaussian distributions, random matrix ensembles and diffusion kernels
af: Leonardo Santilli, et al.
Udgivet: (2021-12-01)

QGOpt: Riemannian optimization for quantum technologies
af: Ilia A. Luchnikov, Alexander Ryzhov, Sergey N. Filippov, Henni Ouerdane
Udgivet: (2021-03-01)

Riemannian optimization of isometric tensor networks
af: Markus Hauru, Maarten Van Damme, Jutho Haegeman
Udgivet: (2021-02-01)

Extension of Operational Matrix Technique for the Solution of Nonlinear System of Caputo Fractional Differential Equations Subjected to Integral Type Boundary Constrains
af: Hammad Khalil, et al.
Udgivet: (2021-09-01)

Global and local selection in differential evolution for constrained numerical optimization
af: Efrén Mezura-Montes, et al.
Udgivet: (2009-10-01)

EFFECT OF MATRIX CHANNEL GEOMETRY ON THE PERFORMANCE OF THE RECOVERY WHEEL
af: Maathe Abdulwahed Theeb, et al.
Udgivet: (2019-03-01)

Riemannian geodesics of semi Riemannian warped product metrics
af: Oriella M. Amici, et al.
Udgivet: (2013-01-01)

Embedded area-constrained Willmore tori of small area in Riemannian three-manifolds I: minimization
af: Ikoma, N, et al.
Udgivet: (2017)

Riemannian Optimization via Frank-Wolfe Methods
af: Weber, Melanie, et al.
Udgivet: (2022)

Riemannian optimization via Frank-Wolfe methods
af: Weber, M, et al.
Udgivet: (2022)

Optimal Inequalities for Hemi-Slant Riemannian Submersions
af: Mehmet Akif Akyol, et al.
Udgivet: (2022-10-01)

Riemannian Metric Learning via Optimal Transport
af: Scarvelis, Christopher
Udgivet: (2023)

Differential and Riemannian geometry/
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Udgivet: (1965)

Riemannian geometry/
af: 415273 Eisenhart, Luther Pfahler
Udgivet: (1949)

Riemannian geometry /
af: Gallot, S. (Sylvestre), 1948-, et al.
Udgivet: (2004)

Qualar curvatures of pseudo Riemannian manifolds and pseudo Riemannian submanifolds
af: Mehmet Gülbahar
Udgivet: (2021-12-01)

A Comprehensive Survey on Parallel Submanifolds in Riemannian and Pseudo-Riemannian Manifolds
af: Bang-Yen Chen
Udgivet: (2019-10-01)

Constrained Interpolation And Shape Preserving Approximation By Space Curves [QA297.6. K82 2006 f rb].
af: Kong, Voon Pang
Udgivet: (2006)

Embedded area-constrained Willmore tori of small area in Riemannian three-manifolds, II: Morse Theory
af: Ikoma, N, et al.
Udgivet: (2017)

Riemannian geometry of matrix manifolds for Lagrangian uncertainty quantification of stochastic fluid flows
af: Feppon, Florian (Florian Jeremy)
Udgivet: (2017)

Numerical analysis /
af: 416304 Owen, F., et al.
Udgivet: (1981)

Eigenvalues of Killing Tensors and Separable Webs on Riemannian and Pseudo-Riemannian Manifolds
af: Giovanni Rastelli, et al.
Udgivet: (2007-02-01)

Optimizing sparse matrix kernels on coprocessors
af: Lim, Wee Siong
Udgivet: (2014)

Projection-free nonconvex stochastic optimization on Riemannian manifolds
af: Weber, Melanie, et al.
Udgivet: (2022)

Solving trust region subproblems using Riemannian optimization
af: Mor, U, et al.
Udgivet: (2023)

Riemannian Optimal Model Reduction of Stable Linear Systems
af: Kazuhiro Sato
Udgivet: (2019-01-01)

Riemannian optimization with a preconditioning scheme on the generalized Stiefel manifold
af: Shustin, B, et al.
Udgivet: (2022)

Heterogeneous Riemannian Manifolds
af: James J. Hebda
Udgivet: (2010-01-01)

On formal Riemannian metrics
Udgivet: (2012-06-01)

Fast algorithms for constrained generalised predictive control with on‐line optimisation
af: Vinícius Berndsen Peccin, et al.
Udgivet: (2021-03-01)

On the space of Riemannian metrics
af: Ebin, David Gregory, 1942-
Udgivet: (2009)

Neo-Riemannian Theory
af: Edward Gollin
Udgivet: (2005-04-01)