## Abstract

A new efficient orthogonalization of the

**-spline basis is proposed and contrasted with some previous orthogonalized methods. The resulting orthogonal basis of splines is best visualized as a net of functions rather than a sequence of them. For this reason, the basis is referred to as a splinet. The splinets feature clear advantages over other spline bases. They efficiently exploit ‘near-orthogonalization’ featured by the B-splines and gains are achieved at two levels: locality that is exhibited through small size of the total support of a splinet and computational efficiency that follows from a small number of orthogonalization procedures needed to be performed on the B-splines to achieve orthogonality. These efficiencies are formally proven by showing the asymptotic rates with respect to the number of elements in a splinet. The natural symmetry of the***B***-splines in the case of the equally spaced knots is preserved in the splinets, while quasi-symmetrical features are also seen for the case of arbitrarily spaced knots.***B*Original language | English |
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Journal | BIT Numerical Mathematics |

Number of pages | 59 |

ISSN | 0006-3835 |

Publication status | Submitted - 2024 |

## Keywords

- Basis functions
- B-splines
- Orthogonalization
- Splinets

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