Advanced & Applied Topics · Operations Research & Optimization

Operations Research: Introduction and Mathematical Modeling — Expert Treatise

Public introduction · full guide in Eikos

Introduction

What this guide covers

Systemic introduction, analytical foundations of mathematical modeling, linear, integer and nonlinear optimization — A rigorous treatise for complex decision making.

Overview

Topics covered

  • Introduction
  • Operations Research
  • Historical Origin and Evolution of Operations Research
  • Epistemology and Anatomy of Mathematical Modeling
  • The Canonical Structure of an Optimization Model
  • Linear Programming and Duality Theory

Related concepts

Main connections

  • Calculus & differentiation
  • Linear algebra & matrices
  • Mean & expected value
  • Variance & standard deviation
  • Time series & ARIMA
  • Supervised machine learning

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

rlcMaximize (or Minimize)f(x1,x2,…,xn)[Objective Function][8pt]Sujeto a:gi(x1,x2,…,xn)≤bi,i=1,…,m[Restricciones Estructurales][4pt]xj∈𝒳j,j=1,…,n[Condiciones of Frontera/Signo]
View LaTeX source\begin{array}{rlc} \text{Maximize (or Minimize)} & f(x_1, x_2, \ldots, x_n) & \quad \text{[Objective Function]} \\[8pt] \text{Sujeto a:} & g_i(x_1, x_2, \ldots, x_n) \leq b_i, \quad i = 1, \ldots, m & \quad \text{[Restricciones Estructurales]} \\[4pt] & x_j \in \mathcal{X}_j, \quad j = 1, \ldots, n & \quad \text{[Condiciones of Frontera/Signo]} \end{array}