Geodesic
Interpolation and Curve Fitting by Sectionally Linear Functions
Canadian mathematical bulletin, Tome 3 (1960) no. 1, pp. 41-57

Voir la notice de l'article provenant de la source Cambridge University Press

Functions employed for interpolation and curve fitting are for the most part polynomials with numerical coefficients. Indeed these are functions whose values for numerically given arguments can be computed directly without resorting to non-algebraic designs. It is known, however, that there are cases where polynomial interpolation does not yield an adequate approximation to a given function (cf. [4], p. 34). 
Schwerdtfeger, Hans. Interpolation and Curve Fitting by Sectionally Linear Functions. Canadian mathematical bulletin, Tome 3 (1960) no. 1, pp. 41-57. doi: 10.4153/CMB-1960-009-4
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[1] 1. Forsythe, G. E., Generation and use of orthogonal polynomials for data-fitting with a digital computer, J. Soc. Indust. Appl. Math. 5 (1957) 74-88. Google Scholar

[2] 2. Herzberger, M., The normal equations of the method of least squares and their solution, Quarterly Appl. Math. 7 (1949) 217-223. Google Scholar

[3] 3. Nielsen, K. L., Methods in Numerical Analysis, (New York, 1956). Google Scholar

[4] 4. Steffensen, J. F., Interpolation, (Baltimore, 1927). Google Scholar

[5] 5. de la Vallée Poussin, C., Leçons sur l'approximation des fonctions d'une variable réelle, (Paris, 1919). Google Scholar

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