Industrial Optimization: Models & Linear Programming
Skills:
ML Maths Basics80%
Key Takeaways
Covers industrial optimization using linear programming, including formulation, solution, and simplex algorithms
Original Description
Introduces the theory, computation, and application of deterministic models to represent industrial operations. Includes linear programming formulation and solution using spreadsheet and algebraic languages software; simplex, big-M, revised simplex, and dual simplex algorithms for solving linear programs; introduction to the theory of simplex.
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
More on: ML Maths Basics
View skill →Related Reads
📰
📰
📰
📰
Data Engineering Course in Pondicherry
Medium · Python
Why Function-Based / Expression Indexes More Powerful Than You Think (And How to Master Them)
Medium · Machine Learning
Why Function-Based / Expression Indexes More Powerful Than You Think (And How to Master Them)
Medium · Data Science
dbt Macros : One File Instead of Eleven
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI