Research output: Contribution to journal › Article › peer-review
Adaptive algorithms for constructing spline-wavelet decompositions of matrix flows from a linear space of matrices over a normed field are presented. The algorithms suggested provides for an a priori prescribed estimate of the deviation of the basic flow from the initial one. Comparative bounds of the volumes of data in the basic flow for various irregularity characteristics of the initial flow are obtained in the cases of pseudo-equidistant and adaptive grids. Limit characteristics of the above-mentioned volumes are given in the cases where the initial flow is generated by differentiable functions.
Original language | English |
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Pages (from-to) | 816-829 |
Number of pages | 14 |
Journal | Journal of Mathematical Sciences (United States) |
Volume | 232 |
Issue number | 6 |
Early online date | 28 Jun 2018 |
DOIs | |
State | Published - 1 Aug 2018 |
ID: 35268106