Pages that link to "Item:Q2269526"

The following pages link to A new scheme for the tensor representation (Q2269526):

Displaying 50 items.

• Multilevel preconditioning and low-rank tensor iteration for space-time simultaneous discretizations of parabolic PDEs (Q2948102) (← links)
• Convergence Results for Projected Line-Search Methods on Varieties of Low-Rank Matrices Via Łojasiewicz Inequality (Q2954392) (← links)
• Constrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEs (Q2954481) (← links)
• Low-Rank Solution to an Optimization Problem Constrained by the Navier--Stokes Equations (Q2964444) (← links)
• Using the Tensor-Train Approach to Solve the Ground-State Eigenproblem for Hydrogen Molecules (Q2968584) (← links)
• Geometric Methods on Low-Rank Matrix and Tensor Manifolds (Q3300541) (← links)
• Variants of Alternating Least Squares Tensor Completion in the Tensor Train Format (Q3447473) (← links)
• Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs (Q3452525) (← links)
• Tensor Completion in Hierarchical Tensor Representations (Q3460842) (← links)
• New Algorithm for Tensor Calculation in Field Theories (Q4488252) (← links)
• High-Dimensional Nash Equilibria Problems and Tensors Applications (Q4593823) (← links)
• Exploiting Efficient Representations in Large-Scale Tensor Decompositions (Q4631411) (← links)
• Numerical tensor calculus (Q4683918) (← links)
• Existence of dynamical low-rank approximations to parabolic problems (Q4992232) (← links)
• Functional Tucker Approximation Using Chebyshev Interpolation (Q4997399) (← links)
• Adaptive low-rank approximations for operator equations: Accuracy control and computational complexity (Q4998630) (← links)
• ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching (Q5027035) (← links)
• Parallel Algorithms for Tensor Train Arithmetic (Q5028405) (← links)
• Approximating Optimal feedback Controllers of Finite Horizon Control Problems Using Hierarchical Tensor Formats (Q5084512) (← links)
• Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions (Q5099860) (← links)
• Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares (Q5146616) (← links)
• (Q5159466) (← links)
• Algorithm 941 (Q5177207) (← links)
• A Low-Rank Tensor Method for PDE-Constrained Optimization with Isogeometric Analysis (Q5208738) (← links)
• A TT-Based Hierarchical Framework for Decomposing High-Order Tensors (Q5221033) (← links)
• A Hybrid Alternating Least Squares--TT-Cross Algorithm for Parametric PDEs (Q5228358) (← links)
• Preconditioners and Tensor Product Solvers for Optimal Control Problems from Chemotaxis (Q5243525) (← links)
• Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation (Q5254416) (← links)
• Tensor Spaces and Hierarchical Tensor Representations (Q5256562) (← links)
• Valuation of Structured Financial Products by Adaptive Multiwavelet Methods in High Dimensions (Q5256567) (← links)
• Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format (Q5265006) (← links)
• Recompression of Hadamard Products of Tensors in Tucker Format (Q5357970) (← links)
• A projection method to solve linear systems in tensor format (Q5397301) (← links)
• Geometry of matrix product states: Metric, parallel transport, and curvature (Q5414786) (← links)
• The tensor hierarchy simplified (Q5419618) (← links)
• A Semi-Lagrangian Vlasov Solver in Tensor Train Format (Q5502085) (← links)
• Preconditioned Low-rank Riemannian Optimization for Linear Systems with Tensor Product Structure (Q5739957) (← links)
• Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors (Q5739958) (← links)
• Computing Eigenspaces With Low Rank Constraints (Q5857626) (← links)
• Bayesian inversion for electromyography using low-rank tensor formats (Q5859752) (← links)
• Low-rank approximation of continuous functions in Sobolev spaces with dominating mixed smoothness (Q5886873) (← links)
• Algebraic compressed sensing (Q6042618) (← links)
• Low-rank tensor methods for partial differential equations (Q6047498) (← links)
• The condition number of many tensor decompositions is invariant under Tucker compression (Q6047573) (← links)
• Data-Driven Tensor Train Gradient Cross Approximation for Hamilton–Jacobi–Bellman Equations (Q6054276) (← links)
• Group-Invariant Tensor Train Networks for Supervised Learning (Q6070296) (← links)
• Approximation theory of tree tensor networks: tensorized univariate functions (Q6076973) (← links)
• Challenges of order reduction techniques for problems involving polymorphic uncertainty (Q6088632) (← links)
• Geometry of tree-based tensor formats in tensor Banach spaces (Q6093328) (← links)
• Tensor product approach to modelling epidemics on networks (Q6095052) (← links)