Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Morten Dæhlen"'
Inspired by the fast digitalization during the Covid-19 crisis, we investigate a key aspect of digital transformation of higher education – the emergence of a digital learning space. In developing our analysis, we focus on two streams of digitaliza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ae30c23b969b766cb34bf8cf66a166b
http://hdl.handle.net/10852/101102
http://hdl.handle.net/10852/101102
Publikováno v:
Journal of Geographical Systems. 11:273-289
In this paper we present a method for simultaneous simplification of a collection of piecewise linear curves in the plane. The method is based on triangulations, and the main purpose is to remove line segments from the piecewise linear curves without
Autor:
Morten Dæhlen, Øyvind Hjelle
Publikováno v:
Computing and Visualization in Science. 8:83-91
An adaptive method for approximating huge scattered data sets is presented. The approximation scheme generates multilevel triangulations obtained using a subdivision scheme known as longest edge bisection. Nested function spaces are defined over the
Publikováno v:
Journal of Computational and Applied Mathematics. 59:191-205
We present a three-stage scheme for constructing smooth grid functions approximating data defined over scattered point sets in Rs. The scheme is useful for approximating large scattered data sets and is particularly successful when the data points ar
Autor:
Morten Dæhlen, Per Gunnar Holm
Publikováno v:
Computers & Graphics. 19:203-214
In this paper, we present a class of decomposition techniques for data represented as matrices. The main idea is to transform a matrix into a sequence of components in order to represent and analyze the matrix in a multi-resolution setting. Data redu
Autor:
Morten Dæhlen, Michael S. Floater
Publikováno v:
Numerical Algorithms. 5:165-177
In this paper we look at some iterative interpolation schemes and investigate how they may be used in data compression. In particular, we use the pointwise polynomial interpolation method to decompose discrete data into a sequence of difference vecto
Publikováno v:
Journal of Computational and Applied Mathematics. 44(3):303-329
We present a computational study of box spline interpolation in two space dimensions. We are in particular concerned with the problem of computing the box spline coefficients in the presence of large data sets. The issues of convergence and regularit
Autor:
Morten Dæhlen, Erland Arge
Publikováno v:
SIAM Journal on Numerical Analysis. 29:1136-1153
Multivariate grid point interpolation on finite regions is considered by translates of $C^1 $ box splines defined on a $(s + 1)$-direction mesh in $\mathbb{R}^s $. In general, this problem will give more degrees of freedom than the number of interpol
Autor:
Aslak Tveito, Morten Dæhlen
Publikováno v:
Simula Research Laboratory ISBN: 9783642011559
Simula Research Laboratory
Simula Research Laboratory
Funding is one of the very few problems that every researcher on the planet has in common. Most will have to confront this burden repeatedly during their careers, and a dream of a grand solution is common amongst researchers. We have lived that dream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38379db234a055b79ae2e522b3e0b3d
https://doi.org/10.1007/978-3-642-01156-6_1
https://doi.org/10.1007/978-3-642-01156-6_1
Autor:
Morten Dæhlen, Michael S. Floater, Tom Lyche, Jean-Louis Merrien, Knut Morken, Larry L. Schumaker
This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Mathematical Methods for Curves and Surfaces, MMCS 2008, held in Tønsberg, Norway, in June/July 2008. The 28 revised full papers prese