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...
Príomhchruthaitheoir: | Goyens, F |
---|---|
Rannpháirtithe: | Cartis, C |
Formáid: | Tráchtas |
Teanga: | English |
Foilsithe / Cruthaithe: |
2021
|
Ábhair: |
Míreanna comhchosúla
Míreanna comhchosúla
-
Nonlinear matrix recovery using optimization on the Grassmann manifold
de réir: Goyens, F, et al.
Foilsithe / Cruthaithe: (2022) -
Control perspectives on numerical algorithms and matrix problems /
de réir: 444990 Bhaya, Amit, et al.
Foilsithe / Cruthaithe: (2006) -
Basis set approach in the constrained interpolation profile method /
de réir: Utsumi, T., et al.
Foilsithe / Cruthaithe: (2003) -
Fast iterative solvers for PDE-constrained optimization problems
de réir: Pearson, J
Foilsithe / Cruthaithe: (2013) -
Efficient algorithms for compressed sensing and matrix completion
de réir: Wei, K
Foilsithe / Cruthaithe: (2014)