Starting from a highly continuous isogeometric analysis discretization, we introduce hyperplanes that partition the domain into subdomains and reduce the continuity of the discretization spaces at these hyperplanes. As the continuity is reduced, the number of degrees of freedom in the system grows. The resulting discretization spaces are finer than standard maximal continuity IGA spaces. Despite the increase in the number of degrees of freedom, these finer spaces deliver simulation results faster with direct solvers than both traditional finite element and isogeometric analysis for meshes with a fixed number of elements. In this work, we analyze the impact of continuity reduction on the number of Floating Point Operations (FLOPs) and comput...
Computational Fluid Dynamics (CFD) is the numerical study of fluid flow, heat transfer, turbulence m...
We study the performance of direct solvers on linear systems of equations resulting from isogeometri...
This work was supported by the Czech Science Foundation (GAČR) grant No. 19-04006S
We propose the use of highly continuous finite element spaces interconnected with low continuity hyp...
Isogeometric analysis (IGA) is a computational approach frequently employed nowadays to study proble...
112 p.Isogeometric Analysis (IGA) is a computational approach frequently employed nowadaysto study p...
Performance of direct solvers strongly depends upon the employed discretization method. In particula...
We study three-dimensional isogeometric analysis (IGA) and the solution of the resulting system of l...
This paper presents an isogeometric (IGA) solver for steady-state incompressiblemagnetohydrodynamics...
Starting from a highly continuous Isogeometric Analysis (IGA) discretization, refined Isogeometric A...
We deal with numerical solution of the incompressible Navier–Stokes equations discretized using the ...
© 2014 John Wiley & Sons, Ltd.SUMMARY: We compare the computational efficiency of isogeometric Galer...
Introduced in [1], Isogeometric Analysis (IgA) has become widely accepted in academia and industry. ...
We study the performance of direct solvers on linear systems of equations resulting from isogeometri...
Starting from a highly continuous Isogeometric Analysis (IGA) discretization, refined Isogeometric A...
Computational Fluid Dynamics (CFD) is the numerical study of fluid flow, heat transfer, turbulence m...
We study the performance of direct solvers on linear systems of equations resulting from isogeometri...
This work was supported by the Czech Science Foundation (GAČR) grant No. 19-04006S
We propose the use of highly continuous finite element spaces interconnected with low continuity hyp...
Isogeometric analysis (IGA) is a computational approach frequently employed nowadays to study proble...
112 p.Isogeometric Analysis (IGA) is a computational approach frequently employed nowadaysto study p...
Performance of direct solvers strongly depends upon the employed discretization method. In particula...
We study three-dimensional isogeometric analysis (IGA) and the solution of the resulting system of l...
This paper presents an isogeometric (IGA) solver for steady-state incompressiblemagnetohydrodynamics...
Starting from a highly continuous Isogeometric Analysis (IGA) discretization, refined Isogeometric A...
We deal with numerical solution of the incompressible Navier–Stokes equations discretized using the ...
© 2014 John Wiley & Sons, Ltd.SUMMARY: We compare the computational efficiency of isogeometric Galer...
Introduced in [1], Isogeometric Analysis (IgA) has become widely accepted in academia and industry. ...
We study the performance of direct solvers on linear systems of equations resulting from isogeometri...
Starting from a highly continuous Isogeometric Analysis (IGA) discretization, refined Isogeometric A...
Computational Fluid Dynamics (CFD) is the numerical study of fluid flow, heat transfer, turbulence m...
We study the performance of direct solvers on linear systems of equations resulting from isogeometri...
This work was supported by the Czech Science Foundation (GAČR) grant No. 19-04006S