Fundamental Mathematical Methods and Concepts

Authors

  • Abdo Abou Jaoudé Department of Mathematics and Statistics, Faculty of Natural and Applied Sciences, Notre Dame University-Louaizé, Lebanon.

DOI:

https://doi.org/10.9734/bpi/mono/978-93-48006-18-9/CH1

Keywords:

Simulation, Monte Carlo Methods, Matrices, Numerical Methods, Complex Numbers

Abstract

In the current manuscript, we will apply to the well-known and established theory of Markov Chains my groundbreaking and novel Complex Probability Paradigm (or CPP) which will lead to a completely and perfectly deterministic expression of these stochastic processes in the universe of probabilities C = R + M. Consequently, it is important before “probing the depths” of Markov Chains, that we define in this chapter some essential mathematical concepts and fundamental tools and theorems that will be extensively used in the whole manuscript algorithms and C++ programs.

Published

2024-08-20

How to Cite

Abdo Abou Jaoudé. (2024). Fundamental Mathematical Methods and Concepts. The Paradigm of Complex Probability and Markov Chains, Edition 1, 1–21. https://doi.org/10.9734/bpi/mono/978-93-48006-18-9/CH1