The effects of truncation and varying sample sizes on optimal profits are investigated here for linear programming problems, where either the coefficients of the objective function or the elements of ...
Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...
Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...
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