Low-rank approximation of parameter-dependent matrices via CUR decomposition
A low-rank approximation of a parameter-dependent matrix A(t) is an important task in the computational sciences appearing for example in dynamical systems and compression of a series of images. In this work, we introduce AdaCUR, an efficient algorithm for computing a low-rank approximation of param...
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Journal article |
| اللغة: | English |
| منشور في: |
Society for Industrial and Applied Mathematics
2025
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