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Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.

Home Page: https://analyticswithali.github.io/Optimization-programming/

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optimization-algorithms optimization network-optimization integer-programming inventory-optimization markov-chain-monte-carlo queueing-theory decision-trees nonlinear-optimization dynamic-programming r

optimization-programming's Introduction

Optimization-programming

This analysis has examples of constrained optimization problems, including linear, network, dynamic, integer, and nonlinear programming, decision trees, queueing theory, and Markov decision processes.

Steps to recreate Network optimization model

  1. Review the network problem PDF file
  2. Download the Raw Data
  3. Network optimization model EDA R file
  4. Network optimization model EDA html file
  5. Final Analysis PDF file

Steps to recreate integer programming and inventory optimization model

  1. Review the optimization problem PDF file
  2. Download the Raw Data
  3. Integer programming model R file
  4. Inventory optimization model R file
  5. Final Analysis Part 1 html file
  6. Final Analysis Part 2 html file

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