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About Quantitative Decision Making (Lectures)
This document outlines various quantitative decision making techniques taught across six lectures: Lecture 1 covers decision making under certainty and uncertainty. Key techniques include decision tables and criteria for uncertainty like MaxiMax, MaxiMin, and Hurwicz. Lecture 2 introduces decision trees for modeling conditional probabilities and calculating the value of imperfect information. Lectures 3 covers Monte Carlo simulation. Lectures 4-5 address linear programming and sensitivity analysis. Lecture 6 discusses integer linear programming and binary integer programming.
Detailed Information
| Author: | ['Lars Schoningh'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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