Academic Journal

Randomized Least-Squares with Minimal Oversampling and Interpolation in General Spaces

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Randomized Least-Squares with Minimal Oversampling and Interpolation in General Spaces
Συγγραφείς: Matthieu Dolbeault, Moulay Abdellah Chkifa
Πηγή: SIAM Journal on Numerical Analysis. 62:1515-1538
Publication Status: Preprint
Στοιχεία εκδότη: Society for Industrial & Applied Mathematics (SIAM), 2024.
Έτος έκδοσης: 2024
Θεματικοί όροι: Convex Optimization, Computational Mechanics, Polynomial, Mathematical analysis, Estimator, Bandwidth (computing), Filter (signal processing), Sparse Approximation, Engineering, High-dimensional Integration and Quasi-Monte Carlo Methods, Machine learning, FOS: Mathematics, Mathematics - Numerical Analysis, Multivariate Approximation, Stability (learning theory), Numerical Analysis, Computer network, Randomized Methods, Computer graphics (images), Oversampling, Mathematical optimization, Statistics, Numerical Analysis (math.NA), Sampling (signal processing), Animation, 65D15, 41A65, 65D05, 41A81, 41A05, Theory and Applications of Compressed Sensing, Applied mathematics, Computer science, Discrepancy Minimization, Dimension (graph theory), Combinatorics, Physical Sciences, Computer Science, Interpolation (computer graphics), Computer vision, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Mathematics, Least-squares function approximation
Περιγραφή: In approximation of functions based on point values, least-squares methods provide more stability than interpolation, at the expense of increasing the sampling budget. We show that near-optimal approximation error can nevertheless be achieved, in an expected $L^2$ sense, as soon as the sample size $m$ is larger than the dimension $n$ of the approximation space by a constant ratio. On the other hand, for $m=n$, we obtain an interpolation strategy with a stability factor of order $n$. The proposed sampling algorithms are greedy procedures based on arXiv:0808.0163 and arXiv:1508.03261, with polynomial computational complexity.
17 pages
Τύπος εγγράφου: Article
Other literature type
Γλώσσα: English
ISSN: 1095-7170
0036-1429
DOI: 10.1137/23m160178x
DOI: 10.48550/arxiv.2306.07435
DOI: 10.60692/ehsg8-k5172
DOI: 10.60692/83c9v-8dd14
Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2306.07435
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi.dedup.....04cc447764ea5c09bd416c7a8e40285b
Βάση Δεδομένων: OpenAIRE
Περιγραφή
ISSN:10957170
00361429
DOI:10.1137/23m160178x