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Optimization for Chemical Engineers

McMaster University,, Spring 2015 , Prof. Kevin Dunn

Updated On 02 Feb, 19

Overview

The application of optimization methods to important engineering problems in thermodynamics, statistics, design, control, economics and scheduling. The course will emphasize problem definition, model formulation and solution analysis, with sufficient details on existing algorithms and software to solve problems.

Topics covered in these lessons includes:

  1. Introduction to Optimization concepts
  2. Creating mathematical models
  3. Linear programming (LPs): formulation and interpretation of the solution
  4. Mixed Integer Linear Programming (MILPs)
  5. Nonlinear Programming (NLPs) with a single variable (unconstrained)
  6. Nonlinear Programming (NLPs) with multi variables (unconstrained)
  7. Nonlinear Programming (NLPs) adding constraints
  8. Optimization in Industrial Practice

Includes

Lecture 9: Optimization for Chemical Engineers 4G3 2015 - Class 04B - wrap up

4.1 ( 11 )


Lecture Details

* Recapped some concepts on sensitivity analysis
* Considered sensitivity analysis where two or more variables were varied
* Getting a general understanding of LPs
** Allocation problems
** Blending problems

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Comments
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Sam

Sep 12, 2018

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

March 29, 2019

Great course. Thank you very much.

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