We present a model-reduced variational Eulerian integrator for incompressible fluids, which combines the efficiency gains of dimension reduction, the qualitative robustness of coarse spatial and temporal resolutions of geometric integrators, and the simplicity of sub-grid accurate boundary conditions on regular grids to deal with arbitrarily-shaped domains. At the core of our contributions is a functional map approach to fluid simulation for which scalar- and vector-valued eigenfunctions of the Laplacian operator can be easily used as reduced bases. Using a variational integrator in time to preserve liveliness and a simple, yet accurate embedding of the fluid domain onto a Cartesian grid, our model-reduced fluid simulator can achieve realis...
We present several enhancements to model-reduced fluid simulation that allow improved simulation bas...
Reduced-order methods are an attractive model for physical simulation in computer graphics. They aim...
The reduced basis element approximation is a discretization method for solving partial differential ...
We present a model-reduced variational Eulerian integrator for incompressible fluids, which combines...
This thesis outlines the construction of several types of structured integrators for incompressible ...
Numerical viscosity has long been a problem in fluid animation. Existing methods suffer from intrins...
We describe a new approach for the purely Eulerian simulation of incompressible fluids. In it, the f...
Figure 1: By developing an integration scheme that exhibits zero numerical dissipation, we can achie...
Standard fluid simulators often apply operator splitting to independently solve for pressure and vis...
A dynamic Variational Multiscale Method (Hughes et al. 1998) is developed by leveraging the Germano ...
A major issue in smoothed particle hydrodynamics (SPH) approaches is the numerical dissipation durin...
The geometric nature of Euler fluids has been clearly identified and extensively studied over the ye...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-016-1332-9In thi...
iv This dissertation presents efficient and scalable algorithms for the simulation of in-compressibl...
We present a pedagogical review of some of the methods employed in Eulerian computational fluid dyna...
We present several enhancements to model-reduced fluid simulation that allow improved simulation bas...
Reduced-order methods are an attractive model for physical simulation in computer graphics. They aim...
The reduced basis element approximation is a discretization method for solving partial differential ...
We present a model-reduced variational Eulerian integrator for incompressible fluids, which combines...
This thesis outlines the construction of several types of structured integrators for incompressible ...
Numerical viscosity has long been a problem in fluid animation. Existing methods suffer from intrins...
We describe a new approach for the purely Eulerian simulation of incompressible fluids. In it, the f...
Figure 1: By developing an integration scheme that exhibits zero numerical dissipation, we can achie...
Standard fluid simulators often apply operator splitting to independently solve for pressure and vis...
A dynamic Variational Multiscale Method (Hughes et al. 1998) is developed by leveraging the Germano ...
A major issue in smoothed particle hydrodynamics (SPH) approaches is the numerical dissipation durin...
The geometric nature of Euler fluids has been clearly identified and extensively studied over the ye...
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-016-1332-9In thi...
iv This dissertation presents efficient and scalable algorithms for the simulation of in-compressibl...
We present a pedagogical review of some of the methods employed in Eulerian computational fluid dyna...
We present several enhancements to model-reduced fluid simulation that allow improved simulation bas...
Reduced-order methods are an attractive model for physical simulation in computer graphics. They aim...
The reduced basis element approximation is a discretization method for solving partial differential ...