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Academic Journal

Block classical Gram–Schmidt-based block updating in low-rank matrix approximation: Block classical Gram-Schmidt-based block updating in low-rank matrix approximation

Subjects: Matematik; truncated ULVD; block update

  • Source: TURKISH JOURNAL OF MATHEMATICS. 42:1779-1794

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Academic Journal

Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications: Low-rank matrix approximation using the Lanczos bidiagonalization process with applications

Subjects: Computational methods for sparse matrices; numerical examples; Numerical solutions to overdetermined systems, pseudoinverses

  • Source: SIAM Journal on Scientific Computing. 21:2257-2274

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Academic Journal

Lower bounds for the low-rank matrix approximation

Subjects: low-rank matrix; Convex programming; matrix norms

  • Source: J Inequal ApplJournal of Inequalities and Applications, Vol 2017, Iss 1, Pp 1-14 (2017)

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Academic Journal

Communication Lower Bounds for Nested Bilinear Algorithms via Rank Expansion of Kronecker Products: Communication lower bounds for nested bilinear algorithms via rank expansion of Kronecker products

Subjects: FOS: Computer and information sciences; Kronecker product; communication lower bounds

  • Source: Foundations of Computational Mathematics. 25:55-101

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Academic Journal

A new complexity metric for nonconvex rank-one generalized matrix completion

Subjects: Matrix completion; Operations Research; Numerical and computational mathematics

  • Source: Mathematical Programming, vol 207, iss 1-2

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Numerical solutions of the time‐dependent Schrödinger equation with position‐dependent effective mass: Numerical solutions of the time-dependent Schrödinger equation with position-dependent effective mass

Subjects: Numerical computation of matrix exponential and similar matrix functions; Iterative numerical methods for linear systems; asymptotic Green's function

  • Source: Numerical Methods for Partial Differential Equations. 39:3222-3245

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On the Sample Complexity of Stabilizing Linear Dynamical Systems from Data: On the sample complexity of stabilizing linear dynamical systems from data

Subjects: Sampled-data control/observation systems; FOS: Computer and information sciences; Computer Science - Machine Learning

  • Source: Foundations of Computational Mathematics. 24:955-987

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Academic Journal

Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system

Subjects: T57-57.97; Applied mathematics. Quantitative methods; Numerical methods for low-rank matrix approximation

  • Source: ESAIM: Proceedings and Surveys, Vol 73, Pp 173-186 (2023)

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Academic Journal

Matrix compression along isogenic blocks

Subjects: Functional calculus for linear operators; matrix compression; Numerical methods for low-rank matrix approximation

  • Source: Acta Scientiarum Mathematicarum. 88:417-448

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Academic Journal

Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations

Subjects: sublinear convergence; orthogonally decomposable tensors; 0211 other engineering and technologies

  • Source: Mathematical Programming. 199:1305-1364

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  • 1-10 of  37 results for ""Low-rank Matrix Approximation""