Interpolation methods fit a model to a given objective function by evaluating the objective function at, say, M points of a grid. If the model has, say, N independent coefficients which have to be determined, they are found by solving a set of M linear simultaneous equations in N unknowns. In this
β¦ LIBER β¦
The regularization of certain methods of minimizing of high order when the initial data are inaccurate
β Scribed by F.P. Vasil'ev
- Publisher
- Elsevier Science
- Year
- 1985
- Weight
- 455 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0041-5553
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