improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. partial differential equations (pdes)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. in t...

Optimal stopping is the problem of deciding when to stop a stochastic system obtain greatest reward, arising in numerous application areas such as finance, healthcare, and marketing. State-of-the-art methods for high-dimensional optimal involve approximating value function or continuation then using that approximation within greedy policy. Although policies can perform very well, they are gener...