The Chosun Ilbo on MSN

Korean researcher solves 60-year-old sofa problem

For nearly 60 years, the “moving sofa problem,” a long-standing mathematical puzzle, remained unsolved. Last year, a Korean ...

From equations to intelligence: the future of AI-driven computational mechanics

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
Scientific Research Publishing

Research on the Optimization Strategy of Integrating VR into Ideological and Political Courses in Colleges and Universities from the Perspective of College Students

Traditional VR instruction often places students directly into immersive experiences without preparation, resulting in a cognitive “cold start”. To resolve this issue, the first step in the ...
IEEE

Handling Multiobjective Optimization Problems With Complex Constraints: A Constraints Grouping-Based Approach

Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...
Scientific Research Publishing

Beck, A. (2017) First-Order Methods in Optimization. Society for Industrial and Applied Mathematics.

ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
The New York Times

Why Common Problems Are Often Worse Than We Realize

If you want to accentuate the importance of a problem, it seems sensible to explain how prevalent it is. Lots of people are at risk of Alzheimer’s disease. Lots of women carry a gene that makes them ...
IEEE

Robust Neural Dynamics for Distributed Time-Varying Optimization With Application to Multi-Robot Systems

Abstract: This paper develops a robust neural dynamics method for the distributed time-varying optimization problem with time-varying constraints. First, instead of assuming the objective functions ...