Robustness of radial basis functions
✍ Scribed by Ralf Eickhoff; Ulrich Rückert
- Book ID
- 113814745
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 268 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0925-2312
No coin nor oath required. For personal study only.
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The Basin Of Attraction Of An Equilibrium Of An Ordinary Differential Equation Can Be Determined Using A Lyapunov Function. A New Method To Construct Such A Lyapunov Function Using Radial Basis Functions Is Presented In This Volume Intended For Researchers And Advanced Students From Both Dynamical S
To overcome the computational mesh quality difficulties, mesh-free methods have been developed. One of the most popular mesh-free kernel approximation techniques is radial basis functions (RBFs). Initially, RBFs were developed for multivariate data and function interpolation. It is well-known that a