AI trained like a Rubik's Cube solver simplifies particle physics equations

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...
IEEE

A Prediction-Correction Proximal Method for Convex Optimization With Linear Equality and Inequality Constraints

Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...
IEEE

Relative-Absolute Fusion: Rethinking Feature Extraction in Image-Based Iterative Method Selection for Solving Sparse Linear Systems

Abstract: Iterative method selection is crucial for solving sparse linear systems because these methods inherently lack robustness. Though image-based selection approaches have shown promise, their ...