Note! I've moved to PyTorch where I continue to improve things since it's much more flexible, see my pytorch version here. Tensorflow layers using piecewise Lagrange polynomials with Gauss Lobatto ...
1 Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya. 2 Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. Approximation of ...
Abstract: Base on the Lagrange interpolation polynomial algorithm, the error analysis is discussed in this paper. Firstly, we derive the Lagrange interpolation ...
Lagrange polynomial interpolation is sufficiently simple that for low fixed order of the polynomial it can be coded essentially in a single line. Here you can find a very short Fortran90 or C code ...
Approximation of finite population totals in the presence of auxiliary information is considered. A polynomial based on Lagrange polynomial is proposed. Like the local polynomial regression, Horvitz ...
Abstract: Several recent articles [1]-[3] have discussed the use of Lagrange polynomials for band-limited signal estimation. We find error bounds when using Lagrange ...
Differential equations (DEs) serve as the cornerstone for a wide range of scientific endeavors, their solutions weaving through the core of diverse fields such as structural engineering, fluid ...
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