MATLAB Implementation of Stepwise Search Method
This is the main MATLAB program for the stepwise search method, along with implementations of Newton's method and fixed-point iteration
Explore MATLAB source code curated for "牛顿法" with clean implementations, documentation, and examples.
This is the main MATLAB program for the stepwise search method, along with implementations of Newton's method and fixed-point iteration
This semester's optimal control assignment compares three variational methods—Newton's Method, Gradient Descent, and Conjugate Gradient—with enhanced algorithm explanations and code implementation insights.
An iterative scheme constructed using Taylor expansion of f(x)=0, approximating the curve with linear segments where implementation requires calculating Jacobian matrices and solving linear systems at each iteration
Implementing Newton's Method in MATLAB. This highly efficient algorithm serves as the foundation for many powerful numerical optimization techniques.
Implementing Newton's method for numerically computing optical fiber propagation constants enables the plotting of dispersion curves through the relationship between propagation constants and dispersion, providing key insights into fiber optic characteristics.
Implementation of Newton's Method for computing optical fiber propagation constants with code-oriented algorithm explanations
MATLAB Code Implementation of Newton's Method with Algorithm Explanation and Key Function Details
Implementation of Newton-Raphson Method for IEEE 33-bus Power Flow Calculation with Jacobian Matrix Construction
Implementation of Newton-Raphson Power Flow and Short-Circuit Calculation Algorithms for Three-Machine Nine-Bus Test System with Code Optimization Techniques
Formation of Jacobian Matrix in Power System Load Flow Calculation with MATLAB Implementation Details