Commonly Used Simulation Methods in Mathematical Modeling: Cellular Automata Implementation
An overview of cellular automata simulation methods in mathematical modeling, including key implementation approaches and algorithm explanations
Explore MATLAB source code curated for "仿真方法" with clean implementations, documentation, and examples.
An overview of cellular automata simulation methods in mathematical modeling, including key implementation approaches and algorithm explanations
Simulation Methods: 1. Execute TargetTracke(0,0) in MATLAB command window for standard tracking experiment simulation; 2. To demonstrate the importance of model switching (the paper's key focus), run TargetTracke(0,1) to observe simulation results without model switching capability; 3. Run Mentecarlo command for Monte Carlo simulations to validate experimental reliability through multiple statistical trials.
This paper presents a general methodology for error correction code performance testing and simulation, with a focus on generating channel error sequences. It implements convolutional code encoding and Viterbi decoding performance simulation using MATLAB, including detailed explanations of algorithm implementation and key functions.
Implementation and Analysis of the New Chen Time-Delay Chaotic System through Numerical Simulation