What is the difference between a reduced cost and a shadow price in linear programming?
Welcome!
This community is for professionals and enthusiasts of our products and services.
Share and discuss the best content and new marketing ideas, build your professional profile and become a better marketer together.
This question has been flagged
1
Reply
357
Views
In linear programming, reduced cost is the amount by which the objective function coefficient must improve before a non-basic variable enters the solution, while shadow price represents the rate of improvement in the objective function when a constraint's right-hand side increases by one unit.
Enjoying the discussion? Don't just read, join in!
Create an account today to enjoy exclusive features and engage with our awesome community!
Sign up