Textbook in PDF format
This book is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics.Each chapter starts with a problem, gives an overview of the relevant theory, shows a solution approach in R and in Python, and finally gives wider context by including a number of published references.
Getting Started
Introduction
Probabilistic Modelling
Markov Chains
Discrete Event Simulation
Dynamical Systems
Differential Equations
Systems Dynamics
Emergent Behaviour
Game Theory
Agent-Based Simulation
Optimisation
Linear Programming
Heuristics