Computing several eigenvalues of nonlinear eigenvalue problems by selection.
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- Calcolo, 2020, v. 57, n. 2, p. 1, doi. 10.1007/s10092-020-00363-9
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- Article
Works matching AU Hochstenbach, Michiel E.
Results: 8
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On the numerical range of a matrix.
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- Linear & Multilinear Algebra, 2008, v. 56, n. 1/2, p. 185, doi. 10.1080/03081080701553768
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- Article
3
On the convergence of the gradient descent method with stochastic fixed-point rounding errors under the Polyak–Łojasiewicz inequality: On the convergence of the gradient...: L. Xia et al.
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- Computational Optimization & Applications, 2025, v. 90, n. 3, p. 753, doi. 10.1007/s10589-025-00656-1
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4
A harmonic framework for stepsize selection in gradient methods.
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- Computational Optimization & Applications, 2023, v. 85, n. 1, p. 75, doi. 10.1007/s10589-023-00455-6
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5
On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation.
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- Journal of Optimization Theory & Applications, 2024, v. 200, n. 2, p. 634, doi. 10.1007/s10957-023-02345-7
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6
Numerical methods for rectangular multiparameter eigenvalue problems, with applications to finding optimal ARMA and LTI models.
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- Numerical Linear Algebra with Applications, 2024, v. 31, n. 2, p. 1, doi. 10.1002/nla.2540
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7
Subspace methods for three‐parameter eigenvalue problems.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 4, p. N.PAG, doi. 10.1002/nla.2240
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8
Harmonic and refined Rayleigh–Ritz for the polynomial eigenvalue problem.
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- Numerical Linear Algebra with Applications, 2008, v. 15, n. 1, p. 35, doi. 10.1002/nla.562
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