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Publications by André Uschmajew
On Local Convergence of Alternating Schemes for Optimization of Convex Problems in the Tensor Train Format
SIAM Journal on Numerical Analysis
Computational Mathematics
Applied Mathematics
Numerical Analysis
Geometric Methods on Low-Rank Matrix and Tensor Manifolds
Related publications
Computation of Extreme Eigenvalues in Higher Dimensions Using Block Tensor Train Format
Computer Physics Communications
Hardware
Astronomy
Physics
Architecture
Implementable Tensor Methods in Unconstrained Convex Optimization
Mathematical Programming, Series B
Mathematics
Software
Iterative Schemes for Convex Minimization Problems With Constraints
Abstract and Applied Analysis
Applied Mathematics
Analysis
H-Convergence and Numerical Schemes for Elliptic Problems
SIAM Journal on Numerical Analysis
Computational Mathematics
Applied Mathematics
Numerical Analysis
Convergence of Generalized Entropy Minimizers in Sequences of Convex Problems
Convex Methods for Rank-Constrained Optimization Problems
On the Global Convergence of the BFGS Method for Nonconvex Unconstrained Optimization Problems
SIAM Journal on Optimization
Theoretical Computer Science
Software
Global Convergence of the TMR Method for Unconstrained Optimization Problems
Communications in Applied Analysis
Modeling
Applied Mathematics
Numerical Analysis
Analysis
Simulation
Some Optimization Problems for the Minimal Annulus of a Convex Set
Mathematical Inequalities and Applications
Mathematics
Applied Mathematics