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Consortium for Mathematics and its Applications

Product ID: ILAP
Supplementary Print
Undergraduate

Disaster Relief Modeling (ILAP)

Author: Paul Isihara and Danilo Diedrichs, with Timotius Kartawijaya, Edwin Townsend, and Kevin Tully


Contents
1. Setting the Scene
2. Discrete Dynamical System Model of Effective Response
3. The PEARL Index and Equitable Distribution
4. Conjoint Analysis and Efficiency Considerations
5. Further Directions
6. Project Solution Hints
References
About the Authors

MATHEMATICS CLASSIFICATIONS:
Dynamical Systems, Data Analysis.

DISCIPLINARY CLASSIFICATIONS:
Disaster relief

PREREQUISITE SKILLS:
Familiarity with summation notation, difference equations, multiple linear regression, basic probability and statistics.

MATHEMATICAL CONCEPTS:
Dynamical systems, optimization, statistically-based conjoint analysis.

ECONOMIC CONCEPTS EXAMINED:
Gini index, cost efficiency, effectiveness/equity.

MATERIALS INCLUDED:
Data about humanitarian relief efforts.

COMPUTING REQUIREMENT:
MATLAB scripts are provided.

©2017 by COMAP, Inc.
Interdisciplinary Lively Applications Project
32 pages

Mathematics Topics:

Probability & Statistics , Difference Equations

Application Areas:

Business & Economics , Dynamical Systems, Data Analysis

Prerequisites:

Familiarity with summation notation, difference equations,multiple linear regression, basic probability and statistics.

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