Abstract
In finding roots of polynomials, often two or more roots that are close together in solution space are very difficult to be resolved by a root-finder. To solve this problem, this Letter proposes a dilation method to transform the positions of roots in space so that all roots in space are pulled further apart. As a result, those close (including complex) roots can be readily resolved efficiently by a root-finder. In addition, in this Letter a complex version of constrained learning algorithm is derived. Moreover, our previously proposing feedforward neural network (FNN) root-finder is adopted to address the root finding issue. Finally, some satisfactory results that support our approach are presented.
| Original language | English |
|---|---|
| Pages (from-to) | 443-451 |
| Number of pages | 9 |
| Journal | Physics Letters, Section A: General, Atomic and Solid State Physics |
| Volume | 309 |
| Issue number | 5-6 |
| DOIs | |
| Publication status | Published - 31 Mar 2003 |
Keywords
- Close roots
- Complex constrained learning algorithm
- Dilation
- Feedforward neural networks
- Polynomials
- Root-finder
ASJC Scopus subject areas
- General Physics and Astronomy
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