Introduction to Modeling and Simulation with Matlab(r) and Python (Hardcover)

INTRODUCTION TO COMPUTATIONAL MODELING
The Importance of Computational Science
How Modeling Has Contributed to Advances in Science and Engineering
The Modeling Process
Exercises
References

INTRODUCTION TO PROGRAMMING ENVIRONMENTS
The MATLAB Programming Environment
The Python Environment

DETERMINISTIC LINEAR MODELS
Selecting a Mathematical Representation for a Model
Linear Models and Linear Equations
Linear Interpolation
Systems of Linear Equations
Limitations of Linear Models
Exercises
References

ARRAY MATHEMATICS IN MATLAB AND PYTHON
Introduction to Arrays and Matrices
Brief Overview of Matrix Mathematics
Matrix Operations in MATLAB
Matrix Operations in Python
Exercises

PLOTTING
Plotting in MATLAB
Plotting in Python
Exercises

PROBLEM SOLVING
Overview
Bottle Filling Example
Tools for Program Development
Bottle Filling Example continued
Exercises

CONDITIONAL STATEMENTS
Relational Operators
Logical Operators
Conditional Statements
Exercises

ITERATION AND LOOPS
For Loops
While Loops
Control Statements
Exercises

NON-LINEAR AND DYNAMIC MODELS
Modeling Complex Systems
Systems Dynamics
Modeling Physical and Social Phenomena
References

ESTIMATING MODELS FROM EMPIRICAL DATA
Using Data to Build Forecasting Models
Fitting a Mathematical Function to Data
Exercises
References

STOCHASTIC MODELS
Introduction
Creating a Stochastic Model
Random Number Generators in MATLAB and Python
A Simple Code Example
Examples of Larger Scale Stochastic Models
Exercises
References

FUNCTIONS
MATLAB Functions
Python Functions
Exercises

VERIFICATION, VALIDATION, AND ERRORS
Introduction
Errors
Verification and Validation
Exercises
References

CAPSTONE PROJECTS
Introduction
Project Goals
Project Descriptions