Solving the 0-1 Knapsack Problem Using Greedy Algorithm
This implementation includes file I/O functions for reading data from txt files, self-coded solution suitable for beginners with step-by-step algorithm explanation
Explore MATLAB source code curated for "初学者" with clean implementations, documentation, and examples.
This implementation includes file I/O functions for reading data from txt files, self-coded solution suitable for beginners with step-by-step algorithm explanation
Comprehensive guide to A* algorithm path planning featuring detailed explanations, code implementation examples, and practical applications - ideal for beginners learning pathfinding algorithms.
Self-compiled repository of RBF (Radial Basis Function) source programs designed for beginner-level learning, featuring practical code implementations and algorithmic explanations.
MATLAB source code for GPS inertial navigation toolbox, ideal for beginners studying inertial navigation systems, facilitates mastery of INS/GPS integrated navigation techniques with practical implementation examples
Several MATLAB/Python code examples demonstrating harmonic analysis through Fourier transform. Includes detailed transformation processes with algorithm explanations, ideal for beginners wanting to understand underlying principles and implementation approaches.
Target tracking is increasingly valued in both defense and civilian applications. JPDA (Joint Probabilistic Data Association) represents a classical algorithm in multi-target tracking. We provide a detailed JPDA implementation featuring clear code structure, comprehensive annotations, and practical examples suitable for beginners. The implementation demonstrates key concepts like measurement-to-track association and probabilistic data handling.
Comprehensive exploration of BP neural network algorithms with code-oriented explanations, specifically designed for beginners to effectively understand neural network fundamentals and practical implementations.
This repository contains self-implemented source code for a chaotic differential evolution algorithm along with a research paper discussing its methodology and applications, designed to assist beginners in understanding this optimization technique.
This particle filter algorithm implementation program is developed on the MATLAB platform and includes the complete resampling step, serving as an excellent educational resource for beginners learning particle filtering concepts and practical implementation.
MATLAB code for calculating image variance with brief implementation statements, designed to help beginners understand and apply this technique in image processing applications.