Orthogonal Polynomial Approximation is a curve fitting method that employs a linear combination of polynomials orthogonal with respect to a given inner product to approximate a function or dataset more efficiently and stably than standard polynomial bases.
320
Publications
13.6K
Citations
526
Authors
298
Institutions
Publications per year
2017–2026
28
Parents
Publications
320
1–5 of 320
Authors
526
- DS
8
h-index
- FM
8
h-index
- YX
7
h-index
- WV
6
h-index
- FP
5
h-index
1–5 of 526
Institutions
298
KU Leuven
Leuven, Belgium
14 h-index
20 publications
808 citations
Universidad Carlos III de Madrid
Madrid, Spain
11 h-index
18 publications
724 citations
University of Oregon
Eugene, United States
8 h-index
9 publications
276 citations
Centre National de la Recherche Scientifique
Paris, France
7 h-index
12 publications
839 citations
University of South Florida
Tampa, United States
6 h-index
9 publications
251 citations
Keldysh Institute of Applied Mathematics
Moscow, Russia
5 h-index
5 publications
320 citations
California Institute of Technology
Pasadena, United States
5 h-index
5 publications
139 citations
Northwestern University
Evanston, United States
5 h-index
5 publications
213 citations
1–8 of 298
Venues
- Journal of Approximation Theory
22 publications · 1.1K citations
19
h-index
- Journal of Computational and Applied Mathematics
28 publications · 938 citations
18
h-index
- Mathematics of Computation
MCOM · 14 publications · 907 citations
13
h-index
- Constructive Approximation
8 publications · 287 citations
8
h-index
- Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
PRE · 5 publications · 144 citations
5
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1–5