2023 - Research.com Mathematics in Belgium Leader Award
Dirk Roose mostly deals with Mathematical analysis, Delay differential equation, Numerical analysis, Control theory and Bifurcation. Dirk Roose interconnects Hopf bifurcation and Dynamical systems theory in the investigation of issues within Mathematical analysis. His Delay differential equation research is multidisciplinary, incorporating perspectives in Symmetry, Phase, Numerical continuation, Stability and Bifurcation diagram.
The concepts of his Numerical analysis study are interwoven with issues in Bifurcation analysis, Continuation, Control engineering, Software and Computation. His work in Bifurcation analysis tackles topics such as Macroscopic scale which are related to areas like Finite element method. He has researched Ordinary differential equation in several fields, including Bifurcation theory and Applied mathematics.
His main research concerns Mathematical analysis, Applied mathematics, Parallel computing, Delay differential equation and Finite element method. His work in Mathematical analysis addresses issues such as Bifurcation theory, which are connected to fields such as Saddle-node bifurcation. His Applied mathematics research is multidisciplinary, relying on both Numerical stability and Mathematical optimization.
His Delay differential equation research is classified as research in Control theory. His work deals with themes such as Forming processes, Texture and Anisotropy, which intersect with Finite element method. His work carried out in the field of Anisotropy brings together such families of science as Geometry, Metallurgy and Constitutive equation.
Dirk Roose focuses on Anisotropy, Finite element method, Mechanics, Texture and Composite material. His Anisotropy research is multidisciplinary, incorporating elements of Plasticity, Geometry, Constitutive equation and Deep drawing, Metallurgy. The various areas that he examines in his Finite element method study include Forming processes, Deformation, Scale and Deformation.
His Mechanics study integrates concerns from other disciplines, such as Particle, Microstructure and Phase. His biological study spans a wide range of topics, including Texture, Permeability and Multiscale modeling. His research on Lattice Boltzmann methods frequently links to adjacent areas such as Computation.
His primary areas of study are Finite element method, Mechanics, Anisotropy, Texture and Composite material. Finite difference method, Solver, Discretization and Computer simulation is closely connected to Finite difference in his research, which is encompassed under the umbrella topic of Finite element method. His study in Mechanics is interdisciplinary in nature, drawing from both Particle, Hardening and Microstructure.
He has included themes like Deep drawing, Forming processes and Geometry in his Texture study. His work on Plasticity, Polymer and Epoxy as part of general Composite material research is often related to Water transport, thus linking different fields of science. Deformation is often connected to Mathematical analysis in his work.
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Lecture Notes in Computational Science and Engineering
M. Griebel;D. Roose;T. Schlick;A. Tveito.
(2015)
Lecture Notes in Computational Science and Engineering
M. Griebel;D. Roose;T. Schlick;A. Tveito.
(2015)
Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL
K. Engelborghs;T. Luzyanina;D. Roose.
ACM Transactions on Mathematical Software (2002)
Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL
K. Engelborghs;T. Luzyanina;D. Roose.
ACM Transactions on Mathematical Software (2002)
Wavelet-based image denoising using a Markov random field a priori model
M. Malfait;D. Roose.
IEEE Transactions on Image Processing (1997)
Wavelet-based image denoising using a Markov random field a priori model
M. Malfait;D. Roose.
IEEE Transactions on Image Processing (1997)
Computational Partial Differential Equations: Numerical Methods and Diffpack Programming
Hans Petter Langtangen;D. Keyes;R. Nieminen;M. Griebel.
(1999)
Computational Partial Differential Equations: Numerical Methods and Diffpack Programming
Hans Petter Langtangen;D. Keyes;R. Nieminen;M. Griebel.
(1999)
Continuous pole placement for delay equations
W. Michiels;K. Engelborghs;P. Vansevenant;D. Roose.
Automatica (2002)
Continuous pole placement for delay equations
W. Michiels;K. Engelborghs;P. Vansevenant;D. Roose.
Automatica (2002)
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