Ishikawa Method for Calculating Gear Mesh Stiffness with MATLAB Implementation
Calculation of gear mesh stiffness using the Ishikawa method, implemented as a MATLAB m-file with parameter configuration and algorithm optimization
Curve Detection in Lane Detection Systems
MATLAB-based implementation for effective curve detection in lane detection applications, employing advanced algorithms for accurate lane curvature analysis
Performing Markov Prediction Calculations
Implementing Markov prediction calculations using MATLAB programming is highly convenient, primarily relying on appropriate matrix multiplication operations through built-in linear algebra functions.
Satellite Orbit Dynamic Simulation with MATLAB
MATLAB-based satellite orbit dynamic simulation using M-files to achieve 3D animated satellite trajectory visualization with real-time data output and logging capabilities
Cutting Patterns and Remnant Materials in Practical Cutting Problems with MATLAB Programming
Mathematical Problem: Cutting Patterns, Remnant Materials, and MATLAB Implementation for Practical Cutting Optimization
Shooting Method Algorithm and MATLAB Implementation
Introduction to the Shooting Method (打靶法) algorithm with MATLAB programming examples for boundary value problems, provided for reference purposes.
Electrical Power System Voltage Stability Analysis
MATLAB-based electrical power system voltage stability analysis program suitable for learning and improvement, featuring power flow calculations, contingency analysis, and voltage stability indices
Computer Simulation of Various Chemical Engineering Processes
Application Background This code is based on the book "Practical Computer Simulation for Chemical Engineering," which includes MATLAB programming tutorials and calculations for various chemical processes such as distillation columns, reactors, control systems, differential equations, and algebraic equations. The book also provides examples of chemical process optimization. It is recommended to purchase the book and study it alongside this code for effective learning, as the code is specifically written to correspond with the book's examples. Key Technologies The code implements optimization algorithms including quadratic programming and least squares methods. It utilizes MATLAB's Optimization Toolbox to minimize objective functions, covering design optimization, operational optimization, and global optimization. The code also includes parameter estimation and model identification components, such as kinetic parameter estimation and heat transfer parameter calculation.
MATLAB-Based Stripe Centerline Extraction Algorithm and Documentation
A comprehensive MATLAB program for stripe centerline extraction, complete with detailed documentation and implementation guide
Mastering Linear Programming Solutions Using the Simplex Method
Learn MATLAB programming; implement linear programming solutions using the simplex method; master dual simplex method for linear programming with practical code implementation approaches and algorithm analysis.