National University of Defense Technology Mathematical Modeling Teaching Courseware

01 Introduction to Mathematical Modeling.pdf - Covers modeling principles, problem formulation techniques, and basic MATLAB implementation frameworks

02 Elementary Models (Mathematical Modeling).pdf - Demonstrates simple modeling approaches with Python code examples for basic mathematical representations

03 Population Models (Mathematical Modeling).pdf - Includes differential equation implementations and algorithm descriptions for population dynamics simulation

04 Linear Programming (Mathematical Modeling).pdf - Features optimization algorithms, simplex method implementation, and MATLAB/CPLEX coding examples

05 Network Models (Mathematical Modeling).pdf - Covers graph theory applications, network flow algorithms, and Python NetworkX library implementations

06 Analytic Hierarchy Process (Mathematical Modeling).pdf - Detailed AHP methodology with pairwise comparison matrix computation and consistency index algorithms

07 Military Models (Mathematical Modeling).pdf - Specialized defense applications including combat modeling, resource allocation algorithms, and simulation code structures

09 Stochastic Decision Making (Mathematical Modeling).pdf - Probability models, Monte Carlo simulation techniques, and random process implementation code