CAE

Here is my question. Could you please clarify if there is a distinction in performance between Fuzzy-logic control and reinforcement learning? As a home appliance control engineer, I am interested in understanding the differences between these two approaches. Fuzzy-logic control operates home appliances based on the predefined rules and logic established by human engineers. In contrast, reinforcement learning controls home appliances based on the rules and behaviors determined by Q-learning and other algorithms....

This article is written by Gemini Deep Research. Introduction In the rapidly evolving landscape of product development, Continuous Integration and Continuous Deployment (CI/CD) practices have become integral to enhancing efficiency and collaboration. This has led many to explore the applicability of DevOps and MLOps methodologies beyond traditional software and machine learning projects. A pressing question in this realm is: Can DevOps and MLOps methodologies be applied to Computational Fluid Dynamics (CFD) and Computer-Aided Engineering (CAE)?...

This article is written by Gemini Deep Research. DASSL: A Deep Dive into Implementation and Performance Variations in Dymola and OpenModelica DASSL (Differential/Algebraic System Solver) is a numerical algorithm widely used for solving differential/algebraic equations (DAEs). These equations arise in various scientific and engineering domains, including modeling physical systems, chemical reactions, and control systems. DASSL’s ability to handle both ODEs and DAEs makes it a versatile tool for simulating complex...