Defines abstract interfaces and concrete classes signed distance functions and domain masks. More...
#include <madness/mra/mra.h>
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Classes | |
| class | madness::DomainMaskInterface |
| The interface for masking functions defined by signed distance functions. More... | |
| class | madness::DomainMaskSDFFunctor< NDIM > |
| Framework for combining a signed distance function (sdf) with a domain mask to produce MADNESS functions. More... | |
| class | madness::GaussianDomainMask |
| Use a Gaussian for the surface function and the corresponding erf for the domain mask. More... | |
| class | madness::LLRVDomainMask |
| Provides the Li-Lowengrub-Ratz-Voight (LLRV) domain mask characteristic functions. More... | |
| class | madness::SignedDFInterface< NDIM > |
| The interface for a signed distance function (sdf). More... | |
Namespaces | |
| madness | |
| File holds all helper structures necessary for the CC_Operator and CC2 class. | |
Detailed Description
Defines abstract interfaces and concrete classes signed distance functions and domain masks.
Interfaces for a signed distance function (sdf) and a domain mask are made. The original conception of these interfaces was for doing shapes and interior boundary conditions in MADNESS; however, the interfaces were abstracted for other applications.
The domain mask builds on a sdf such that 
for smooth switching between domains. That said, a mask needs a sdf.
A general-purpose functor is given that combines a sdf and mask to produce MADNESS functions for various entities including
- The domain mask (trace is the volume)
- The gradient of mask (related to the surface)
- The surface (trace is the surface area)
- The normal derivative of the surface
