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We propose and analyze optimal additive multilevel solvers for isogeometric discretizations of scalar elliptic problems for locally refined T-meshes. Applying the refinement strategy in Morgenstern and Peterseim (2015, Comput. Aided Geom.…

Numerical Analysis · Mathematics 2019-07-04 Durkbin Cho , Rafael Vázquez

We introduce here a direct method to construct multivariate explicit B-spline bases. B-splines are piecewise polynomials, which are defined on adjacent tetrahedra and which are $C^{r}$ continuous throughout. The $C^{r}$ continuity is…

Numerical Analysis · Mathematics 2014-09-15 R. O. Linger , H. R. N. van Erp , P. H. A. J. M. van Gelder

This paper develops a unified theoretical framework for constructing B-spline basis function spaces with structural equivalence to finite element spaces. The theory rigorously establishes that these bases emerge as explicit linear…

Numerical Analysis · Mathematics 2026-01-29 Peng Yang , Maodong Pan , Falai Chen , Zhimin Zhang

Analysis-suitable T-splines (AST-splines) are a promising candidate to achieve a seamless integration between the design and the analysis of thin-walled structures in industrial settings. In this work, we generalize AST-splines to allow…

Numerical Analysis · Mathematics 2022-01-26 Xiaodong Wei , Xin Li , Kuanren Qian , Thomas J. R. Hughes , Yongjie Jessica Zhang , Hugo Casquero

Tchebycheffian splines are smooth piecewise functions whose pieces are drawn from (possibly different) Tchebycheff spaces, a natural generalization of algebraic polynomial spaces. They enjoy most of the properties known in the polynomial…

Numerical Analysis · Mathematics 2022-11-29 Krunal Raval , Carla Manni , Hendrik Speleers

With the renewed and growing interest in geometric continuity in mind, this article gives a general definition of geometrically continuous polygonal surfaces and geometrically continuous spline functions on them. Polynomial splines defined…

Differential Geometry · Mathematics 2015-10-27 Raimundas Vidunas

In this paper we study dual bases functions in subspaces. These are bases which are dual to functionals on larger linear space. Our goal is construct and derive properties of certain bases obtained from the construction, with primary focus…

Numerical Analysis · Mathematics 2017-04-28 Scott N. Kersey

This paper addresses the linear independence of T-splines that correspond to refinements of three-dimensional tensor-product meshes. We give an abstract definition of analysis-suitability, and prove that it is equivalent to…

Numerical Analysis · Mathematics 2017-01-24 Philipp Morgenstern

In areas such as kernel smoothing and non-parametric regression there is emphasis on smooth interpolation and smooth statistical models. Splines are known to have optimal smoothness properties in one and higher dimensions. It is shown, with…

Computation · Statistics 2008-09-29 Ron A. Bates , Hugo Maruri-Aguilar , Henry P. Wynn

We present an efficient adaptive refinement procedure that preserves analysis-suitability of the T-mesh, this is, the linear independence of the T-spline blending functions. We prove analysis-suitability of the overlays and boundedness of…

Numerical Analysis · Mathematics 2016-05-04 Philipp Morgenstern , Daniel Peterseim

The construction of B-spline wavelet bases on nonequispaced knots is extended to wavelets that are piecewise segments from any combination of smooth functions. The extended wavelet family thus provides multiresolution basis functions with…

Numerical Analysis · Mathematics 2023-05-18 Maarten Jansen

This paper investigates two important analytical properties of hyperbolic-polynomial penalized splines, HP-splines for short. HP-splines, obtained by combining a special type of difference penalty with hyperbolic-polynomial B-splines…

Numerical Analysis · Mathematics 2022-02-15 Rosanna Campagna , Costanza Conti

In this paper hierarchical analysis-suitable T-splines (HASTS) are developed. The resulting spaces are a superset of both analysis-suitable T-splines and hierarchical B-splines. The additional flexibility provided by the hierarchy of…

Numerical Analysis · Mathematics 2015-06-19 Emily J. Evans , Michael A. Scott , Xin Li , Derek C. Thomas

The solution approximation for partial differential equations (PDEs) can be substantially improved using smooth basis functions. The recently introduced mollified basis functions are constructed through mollification, or convolution, of…

Numerical Analysis · Mathematics 2024-07-01 Dewangga Alfarisy , Lavi Zuhal , Michael Ortiz , Fehmi Cirak , Eky Febrianto

Functions on a bounded domain in scientific computing are often approximated using piecewise polynomial approximations on meshes that adapt to the shape of the geometry. We study the problem of function approximation using splines on a…

Numerical Analysis · Mathematics 2020-08-27 Vincent Coppé , Daan Huybrechs

Geometrically continuous splines are piecewise polynomial functions defined on a collection of patches which are stitched together through transition maps. They are called $G^{r}$-splines if, after composition with the transition maps, they…

Numerical Analysis · Mathematics 2023-05-17 Angelos Mantzaflaris , Bernard Mourrain , Nelly Villamizar , Beihui Yuan

For spaces of constant, linear, and quadratic splines of maximal smoothness on the Powell-Sabin 12-split of a triangle, the so-called S-bases were recently introduced. These are simplex spline bases with B-spline-like properties on the…

Numerical Analysis · Mathematics 2019-10-09 Tom Lyche , Georg Muntingh

We study the space of $C^1$ isogeometric spline functions defined on trilinearly parameterized multi-patch volumes. Amongst others, we present a general framework for the design of the $C^1$ isogeometric spline space and of an associated…

Numerical Analysis · Mathematics 2021-10-06 Mario Kapl , Vito Vitrih

We introduce a framework for spline spaces of hierarchical type, based on a parent-children relation, which is very convenient for the analysis as well as the implementation of adaptive isogeometric methods. Such framework makes it simple…

Numerical Analysis · Mathematics 2018-08-08 Marcelo Actis , Pedro Morin , M. Sebastán Pauletti

Functional data analysis is typically performed in two steps: first, functionally representing discrete observations, and then applying functional methods to the so-represented data. The initial choice of a functional representation may…

Applications · Statistics 2024-05-15 Rani Basna , Hiba Nassar , Krzysztof Podgórski