The estimate for approximation error of spherical neural networks
β Scribed by Feilong Cao; Huazhong Wang; Shaobo Lin
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 135 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0170-4214
- DOI
- 10.1002/mma.1487
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We present an elementary proof that the quantum adiabatic approximation is correct up to exponentially small errors for Hamiltonians that depend analytically on the time variable. Our proof uses optimal truncation of a straightforward asymptotic expansion. We estimate the terms of the expansion with
## Abstract This paper studies mixed finite element approximations to the solution of the viscoelasticity wave equation. Two new transformations are introduced and a corresponding system of firstβorder differentialβintegral equations is derived. The semiβdiscrete and fullβdiscrete mixed finite elem