Self-Implemented Cubic Spline Interpolation Function with Custom Programming
Source code for a custom cubic spline interpolation function implementation, accompanied by specialized programs for solving practical application problems
Solving Differential Equations Using Fourth-Order Runge-Kutta Method
MATLAB-implemented Fourth-Order Runge-Kutta method for real-time quaternion differential equation solving, featuring adaptive step-size control and error management
Source Code for Maximum Likelihood Estimation
This source code implements Maximum Likelihood Estimation (MLE) for parameter estimation, featuring optimization algorithms and likelihood function implementations suitable for statistical modeling and machine learning applications.
Source Code for Solving Second-Order Differential Equations Using Euler's Method
Implementation of Euler's method for solving second-order differential equations with a specific example case
Information Hiding Laboratory Tutorial with Source Code
Source code for the "Information Hiding Laboratory Tutorial" with detailed implementation examples and algorithm explanations, designed to assist learners in understanding practical data concealment techniques.
Source Code for Gaussian Noise Generation
MATLAB-based source code implementation for generating Gaussian noise with detailed algorithm explanations
Mathematical Modeling: Factor Analysis Method with MATLAB Implementation
MATLAB source code for factor analysis algorithm implementation in mathematical modeling applications
Simulation of Uniform Bragg Grating
Simulation code for uniform Bragg grating using Runge-Kutta method implementation with detailed numerical solution approach.
MATLAB-based Gaussian Forward and Inverse Computation Source Code
High-precision MATLAB source code for Gaussian forward and inverse coordinate transformations with comprehensive error compensation
MATLAB Code Implementation for Calculating Multifractal Spectrum
Complete MATLAB source code for computing multifractal spectrum, featuring ready-to-use implementation with box-counting method and probability distribution analysis for fractal dimension calculation.