Approximation Theory and Algorithms for Data Analysis
This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics of approximation with recent advances in mathematical signal processing, and adopting a constructive approach, in which the development of numerical algorithms for data ana...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Texts in Applied Mathematics,
68 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 1 Introduction
- 2 Basic Methods and Numerical Analysis
- 3 Best Approximations
- 4 Euclidean Approximations
- 5 Chebyshev Approximations
- 6 Asymptotic Results
- 7 Basic Concepts of Signal Approximation
- 8 Kernel-Based Approximation
- 9 Computational Topology
- References
- Subject Index
- Name Index.