Abstract: With the development of modern engineering technology, the dynamic optimization design of mechanical structure has become the key to improve product performance and market competitiveness.

This paper presents the Secant Optimization Algorithm (SOA), a novel mathematics-inspired metaheuristic derived from the Secant Method. SOA enhances search efficiency by repeating vector updates using ...

Publish your MATLAB® functions to MATLAB Production Server™ as Model Context Protocol (MCP) tools. This allows AI agents to call your functions, enhancing their capabilities with domain-specific ...

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Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...

Gradient-based optimization is a widely used approach in machine learning, deep learning, and artificial intelligence applications. It is a technique that helps find the optimal solution for a given ...

This repository contains the MATLAB source code and associated data files to support the findings of the paper: [To be included upon publication]. The code facilitates the simulation, analysis, and ...

Abstract: This paper presents a comprehensive approach to the topological optimization of permanent magnet synchronous motors (PMSM) using MATLAB. The study focuses on improving key motor performance ...

Optimal reactive power dispatch (ORPD) has an significant role for proper planning & operation of existing power networks. In order to keep the voltages at all system buses within acceptable ranges ...

Learning a new skill can be difficult, especially when it’s relatively complex. It’s often hard to keep definitions, concepts, and descriptions straight when you’re trying to make inroads into an area ...

Overview Objectives Benefits Technology Stack Key Components & Functionality Subsystems Modeling and Simulation Results MathWorks Model and Functions Expected Outcomes References Extended Capabilities ...