PDE-SHARP: PDE Solver Hybrids Through Analysis & Refinement Passes

The introduction of PDE-SHARP marks a significant advancement in the field of partial differential equations (PDE) solving. By leveraging large language models (LLMs) to streamline the process, this framework reduces the computational costs typically associated with complex PDEs. This is crucial as traditional methods can be resource-intensive and time-consuming. PDE-SHARP not only enhances efficiency but also maintains high accuracy in solver performance, making it a game-changer for researchers and practitioners in scientific computing.