Explore MATLAB source code curated for "纳什均衡" with clean implementations, documentation, and examples.
Game theory-based analysis of power control in cognitive radio systems, featuring source code that implements Nash equilibrium through iterative algorithms with graphical visualization of the convergence process.
Implementation of n-player non-cooperative game Nash equilibrium based on the source code from the paper "An Optimization Formulation to Compute Nash Equilibrium in finite Games" with algorithm analysis and key function descriptions
Power Control Analysis Using Game Theory with Iterative Nash Equilibrium Implementation
This project analyzes wireless network power control problems using game theory, implementing Nash equilibrium through iterative algorithms with graphical visualization of the convergence process.
Code-based solution for non-cooperative game theory that computes Nash equilibrium and derives optimal payoff functions for each player, incorporating algorithmic implementations and strategic analysis.
MATLAB simulation of power control utilizing the Asynchronous Distributed Pricing (ADP) algorithm, which employs gradient-based optimization to achieve Nash equilibrium and obtain optimal solutions. Includes implementation of distributed computational approaches and performance analysis through parameter tuning.
Solution Methods for Differential Equations in Game Theory