Low Tucker rank tensor completion using a symmetric block coordinate descent method.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2464
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- Publication type:
- Article
Works matching IS 10705325 AND DT 2023 AND VI 30 AND IP 3
Results: 9
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TTRISK: Tensor train decomposition algorithm for risk averse optimization.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2481
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- Publication type:
- Article
3
Fast solution of three‐dimensional elliptic equations with randomly generated jumping coefficients by using tensor‐structured preconditioners.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2477
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- Publication type:
- Article
4
Computing f‐divergences and distances of high‐dimensional probability density functions.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2467
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- Publication type:
- Article
5
Dynamical low‐rank approximations of solutions to the Hamilton–Jacobi–Bellman equation.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2463
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- Publication type:
- Article
6
Editorial: Tensor numerical methods and their application in scientific computing and data science.
- Published in:
- 2023
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- Publication type:
- Editorial
7
Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2461
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- Publication type:
- Article
8
Local convergence of alternating low‐rank optimization methods with overrelaxation.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2459
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- Publication type:
- Article
9
Issue Information.
- Published in:
- Numerical Linear Algebra with Applications, 2023, v. 30, n. 3, p. 1, doi. 10.1002/nla.2451
- Publication type:
- Article