Refining Heisenberg's principle: A greedy approximation of step functions with triangular waveform dictionaries.
Alessandro MazzoccoliJorge Andres RiveroPierluigi VellucciPublished in: Math. Comput. Simul. (2024)
Keyphrases
- tensor product
- continuous functions
- approximation error
- error bounds
- greedy algorithm
- feature selection
- free energy
- multiscale
- submodular functions
- approximation algorithms
- closed form
- hill climbing
- cross correlation
- post processing
- information extraction
- special case
- greedy heuristic
- search space
- search algorithm
- linear functions