Abstract
Spline functions are well known and are widely used for practical approximation of functions or more commonly for fitting smooth curves through preassigned points. Spline techniques have the advantage over most approximation and interpolation techniques in that they are computationally feasible. Most of the published spline algorithms are for polynomial splines and the vast preponderance are for cubic splines. There is a small but excellent literature on the so called exponential splines and there is an even smaller literature on splines with more or less arbitrary nodal functions,[9, 3].
Partially supported by NASA Grants NAG 2-902 and NAG 2-899 and grant from the Texas tech Leather Research Institute
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© 1995 Birkhäuser Boston
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Martin, C., Enqvist, P., Tomlinson, J., Zhang, Z. (1995). Linear Control Theory, Splines and Interpolation. In: Computation and Control IV. Progress in Systems and Control Theory, vol 20. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-2574-4_18
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DOI: https://doi.org/10.1007/978-1-4612-2574-4_18
Publisher Name: Birkhäuser Boston
Print ISBN: 978-1-4612-7586-2
Online ISBN: 978-1-4612-2574-4
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