3 ms·
You solve the inverse problem once. That’s takes a while. Then you build it. More time. Then you run it for thousands of different inputs. There’s the benefit
by sbzodnsbd 8y ago
You solve the inverse problem once. That’s takes a while.
Then you build it. More time.
Then you run it for thousands of different inputs. There’s the benefit.
For example:
You build a kernel describing the acoustics of a sound (ie a body of water) once.
Then you can solve instantly what and where sounds (acoustics) are coming from
- amelius 8y agoWell, if the inverse is dense and the excitation as well, then I can see an advantage, because computing a solution by applying the inverse to the excitation would be O(n^2). But I suppose that usually the excitation would be sparse.