On Least-Squares Fitting of Two-Dimensional Data with a Special Structure
β Scribed by John E. Buchanan and Donald H. Thomas
- Book ID
- 124922552
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 1968
- Tongue
- English
- Weight
- 206 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0036-1429
- DOI
- 10.2307/2949438
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π SIMILAR VOLUMES
One of the methods in common use for analyzing large data sets is a two-step procedure, in which subsets of the full data are first least-squares fitted to a preliminary set of parameters, and the latter are subsequently merged to yield the final parameters. The second step of this procedure is prop
By use of rotation angle method a direct algorithm is derived, which determines the least-squares superposition that matches two sets of atomic coordinates. The program based on this algorithm runs fast. The solution obtained by this algorithm cannot be trapped by any local minimum. Testing examples