Frontmatter.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. i, doi. 10.1515/cmam-2019-frontmatter1
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- Article
Works matching IS 16094840 AND DT 2019 AND VI 19 AND IP 1
Results: 12
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A Low-Rank Inexact Newton–Krylov Method for Stochastic Eigenvalue Problems.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 5, doi. 10.1515/cmam-2018-0030
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- Publication type:
- Article
3
Projection Methods for Dynamical Low-Rank Approximation of High-Dimensional Problems.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 73, doi. 10.1515/cmam-2018-0029
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- Publication type:
- Article
4
Non-intrusive Tensor Reconstruction for High-Dimensional Random PDEs.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 39, doi. 10.1515/cmam-2018-0028
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- Publication type:
- Article
5
Quasi-Optimal Rank-Structured Approximation to Multidimensional Parabolic Problems by Cayley Transform and Chebyshev Interpolation.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 55, doi. 10.1515/cmam-2018-0021
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- Publication type:
- Article
6
Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 147, doi. 10.1515/cmam-2018-0025
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- Publication type:
- Article
7
Low-Rank Space-Time Decoupled Isogeometric Analysis for Parabolic Problems with Varying Coefficients.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 123, doi. 10.1515/cmam-2018-0024
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- Publication type:
- Article
8
A Tensor Decomposition Algorithm for Large ODEs with Conservation Laws.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 23, doi. 10.1515/cmam-2018-0023
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- Publication type:
- Article
9
Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM).
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 93, doi. 10.1515/cmam-2018-0027
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- Publication type:
- Article
10
Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 137, doi. 10.1515/cmam-2018-0026
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- Publication type:
- Article
11
Tensor Numerical Methods: Actual Theory and Recent Applications.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 1, doi. 10.1515/cmam-2018-0014
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- Publication type:
- Article
12
Tucker Tensor Analysis of Matérn Functions in Spatial Statistics.
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- Computational Methods in Applied Mathematics, 2019, v. 19, n. 1, p. 101, doi. 10.1515/cmam-2018-0022
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- Publication type:
- Article