Bert Jüttler

ORCID: 0000-0002-5518-7795
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About
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Research Areas
  • Advanced Numerical Analysis Techniques
  • Computational Geometry and Mesh Generation
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Polynomial and algebraic computation
  • Advanced Vision and Imaging
  • Manufacturing Process and Optimization
  • Advanced Theoretical and Applied Studies in Material Sciences and Geometry
  • Image and Object Detection Techniques
  • Robotic Mechanisms and Dynamics
  • Advanced Measurement and Metrology Techniques
  • Tribology and Lubrication Engineering
  • Mathematics and Applications
  • Numerical methods in engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Advanced machining processes and optimization
  • Digital Image Processing Techniques
  • Image Processing and 3D Reconstruction
  • Robotic Path Planning Algorithms
  • Statistical and numerical algorithms
  • Robotics and Sensor-Based Localization
  • Data Management and Algorithms
  • Iterative Methods for Nonlinear Equations
  • Optical measurement and interference techniques
  • Digital Filter Design and Implementation

Johannes Kepler University of Linz
2015-2024

Johann Radon Institute for Computational and Applied Mathematics
2014-2023

Austrian Academy of Sciences
2014-2021

MTU Aero Engines (Germany)
2014

SINTEF
2005

Technical University of Darmstadt
1997-2000

University of Dundee
1996

Darmstadt University of Applied Sciences
1993-1995

TU Dresden
1992

10.1016/j.cma.2008.07.012 article EN Computer Methods in Applied Mechanics and Engineering 2008-08-06

Due to its minimal twist, the rotation minimizing frame (RMF) is widely used in computer graphics, including sweep or blending surface modeling, motion design and control animation robotics, streamline visualization, tool path planning CAD/CAM. We present a novel simple efficient method for accurate stable computation of RMF curve 3D. This method, called double reflection , uses two reflections compute each from preceding one yield sequence frames approximate an exact RMF. The has fourth...

10.1145/1330511.1330513 article EN ACM Transactions on Graphics 2008-03-01

Finite Element Tearing and Interconnecting (FETI) methods are a powerful approach to designing solvers for large-scale problems in computational mechanics. The numerical simulation problem is subdivided into number of independent sub-problems, which then coupled appropriate ways. NURBS- (Non-Uniform Rational B-spline) based isogeometric analysis (IGA) applied complex geometries requires represent the domain as collection several NURBS geometries. Since there natural decomposition subdomains,...

10.1016/j.cma.2012.08.007 article EN cc-by-nc-nd Computer Methods in Applied Mechanics and Engineering 2012-08-21

Abstract Isogeometric analysis (IGA) is a recently developed simulation method that allows integration of finite element (FEA) with conventional computer‐aided design (CAD) software [1,3]. This goal requires new strategies, in order to enable the use CAD data pipeline. To this end, we have initiated G + SMO (Geometry+Simulation Modules), an open‐source, C++ library for IGA. object‐oriented, template library, implements generic concept IGA, based on abstract classes discretization basis,...

10.1002/pamm.201410461 article EN PAMM 2014-12-01

10.1016/j.camwa.2015.04.004 article EN publisher-specific-oa Computers & Mathematics with Applications 2015-05-11

10.1016/j.cma.2016.11.013 article EN Computer Methods in Applied Mechanics and Engineering 2016-11-17

10.1016/j.cagd.2015.03.014 article EN Computer Aided Geometric Design 2015-04-06

10.1023/a:1015200504295 article EN Advances in Computational Mathematics 2002-01-01

Polynomial Pythagorean hodograph (PH) curves form a remarkable subclass of polynomial parametric curves; they are distinguished by having arc length function and rational offsets (parallel curves). Many related references can be found in the article Farouki Neff on $C^1$ Hermite interpolation with PH quintics. We extend scheme taking additional curvature information at segment boundaries into account. As result we obtain new construction continuous spline curves. discuss $G^2[C^1]$ boundary...

10.1090/s0025-5718-00-01288-6 article EN Mathematics of Computation 2000-10-16

10.1016/0097-8493(94)90033-7 article EN Computers & Graphics 1994-05-01

10.1007/s10851-009-0156-z article EN Journal of Mathematical Imaging and Vision 2009-05-19
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