A new error decomposition framework for scaled Hermite spectral methods shows that balancing spatial and frequency truncation errors via scaling recovers geometric convergence and doubles algebraic convergence orders.
Stenger, Numerical Methods Based on Sinc and Analytic Functions , Springer New York, 1993
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Scaling Optimized Hermite Approximation Methods
A new error decomposition framework for scaled Hermite spectral methods shows that balancing spatial and frequency truncation errors via scaling recovers geometric convergence and doubles algebraic convergence orders.