
doi: 10.1137/0718064
The various differential approximation schemes for producing an exponential sum approximation to a given function F are placed within a common mathematical framework, and localization theorems are established in the important case where F is completely monotonic. The replacement of the least squares minimization by a Galerkin orthogonalization leads to a promising new variation of differential approximation which is analyzed and then illustrated by several numerical examples.
numerical examples, Algorithms for approximation of functions, differential approximation scheme, approximation with exponential sums, Trigonometric and exponential sums (general theory), algorithms, Approximation by other special function classes
numerical examples, Algorithms for approximation of functions, differential approximation scheme, approximation with exponential sums, Trigonometric and exponential sums (general theory), algorithms, Approximation by other special function classes
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
