Flere publikasjoner
- Permanent LiDAR Monitoring in Alpine Environments – Web-Based Realtime Guidance Using Analysis of Multi-Temporal Datasets
- LR B-splines to approximate bathymetry datasets: An improved statistical criterion to judge the goodness of fit Les publikasjonen
- Parametric Shape Optimization for Combined Additive–Subtractive Manufacturing Les publikasjonen
- Trivariate Spline Representations for Computer Aided Design and Additive Manufacturing Les publikasjonen
- Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines Les publikasjonen
- Comparing Methods for the Approximation of Rainfall Fields in Environmental Applications
- Applications to Surface Approximation and Rainfall Analysis
- Spatial and Environmental Data Approximation
- Locally refined spline surfaces for representation of terrain data
- Locally refined splines representation for geospatial big data
Annen formidling
- Locally refined spline surfaces and volumes for representation and analysis of geo-spational points
- On the Use of Lr B-Splines to Fit Optimally a Point Cloud: a Statistical Investigation using Information Criteria for Model Selection
- CutFEM-style methods in FEniCS-X: CAD and level sets
- Geometri og geografiske data Representasjon av terreng og havbunn med lokalt forfinede splines
- Geometri og geografiske data – representasjon av havbunn og terreng
- Trimmed Tri-variate Spline Volumes for Design and Simulation in Additive Manufacturing
- A machine learning approach to reverse engineering based on clustering and approximate implicitization
- Deconfliction and surface generation from bathymetry data using LR B-splines
- Compact Representation of Big Geospatial Data by Locally Refinable Splines
- Compact representation of big geospatial data by locally refinable splines