IEEE

Dynamic Heuristic Optimization in High-Order Runge–Kutta Schemes Using Reinforcement Learning and Genetic Algorithms

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.
IEEE

A High-Order Finite-Difference Combined With Runge–Kutta Scheme for Full-Component Simulation of Seismoelectric Waves

Abstract: Simulation of the seismoelectric effect is an effective approach for investigating the propagation characteristics of seismoelectric waves. However, the quasi-static approximation fails to ...
Investopedia

Understanding the Retail Inventory Method: Calculation and Applications

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia

Waterfall Payment: Definition, Benefits, How It Works, and Example

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. David Kindness is a Certified Public ...
C&EN

Spin-Selective Second-Order Topological Insulators Enabling Cornertronics in Two-Dimensional Altermagnets

Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials, College of Physics and Energy, Fujian Normal University, Fuzhou 350117, China ...
C&EN

Perspective on Many-Body Methods for Molecular Polaritonic Systems

Center for Computational Quantum Physics, Flatiron Institute, New York, New York 10010, United States Department of Physics, City College of New York, New York, New York 10031, United States ...