Optimizing Non-linear Chemical Engineering Applications | AIChE
Sponsor: Gurobi Optimization | This webinar is sponsored by Gurobi Optimization and reflects their views, opinions, and insights. Attendance is free.

Optimizing Non-linear Chemical Engineering Applications

Because the chemical engineering world is non-linear and non-convex, it has been difficult to use standard math programming tools—the necessary linearization causes too many problems. But what if you could incorporate optimization into your decision-making? How could basing decisions on process data and competing objectives enable you to optimize your non-linear chemical engineering applications? Find out in this webinar. 

In one hour, you’ll be introduced to Gurobi—the world’s fastest mathematical optimization solver—and how you can use it to solve problems with non-convex quadratic constraints and objectives. You’ll explore how Gurobi can help you find globally optimal solutions to classic bilinear pooling and blending problems and continuous manufacturing problems. Through a show-and-tell format, you’ll see what Gurobi can do for you and your chemical engineering applications. And, using the classical heat exchanger network optimization as an example, this webinar will bring this powerful tool to life.    

Take this webinar and you’ll leave with a new understanding of how decision-making based on process data and competing objectives—such as minimizing cost and maximizing reliability—can improve your ability to model and solve the challenges you face as a chemical engineer.  

You’ll learn:

  • What Gurobi is—an introduction
  • Why use Gurobi in your non-linear chemical engineering applications
  • A new approach to solving your complex, real-world problems
  • The problem with standard math programming tools


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