GitHub

A powerful and efficient Python package for solving Hamilton-Jacobi-Bellman (HJB) equations using policy iteration. Built on JAX for high performance and JIT compilation.

Get up and running in 5 minutes with the BCW2011 liquidation problem from "A unified theory of tobin's q, corporate investment, financing, and risk management" by Bolton, Chen, and Wang (2011), Case I ...
GitHub

A lightweight, from-scratch, object-oriented Python package implementing classic numerical methods.

Great for teaching/learning numerical methods step by step. Good reference for people writing their own solvers in C/Fortran/Julia. Lightweight, no dependencies. Consistent object-oriented API (.solve ...
IEEE

Iterative Learning Predictive Control Method Based on Reinforcement Learning for Rubber Mixing Batch Process

Abstract: As a typical batch production process, the rubber mixing process involves complex dynamics and significant fluctuations in results. Since the mixing temperature is key to product quality, ...
IEEE

Accelerating Equation Solvers using Gauss-Jacobi on Multi-FPGA Systems with Ring NoC

Abstract: This paper presents a novel approach for performing iterative computations distributed across a network of FPGAs. For example, approximate computing of the Gauss-Jacobi iterative method is ...
C&EN

All-in-One Method for Iterative Single-Cell Dielectrophoretic and Optical Characterization: Advancing the OpenDEP Platform

Biophysics and Cellular Biotechnology Department, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd., Bucharest 050474, Romania Excellence Center for Research in Biophysics and ...