Media Summary: Linear Programming The Geometric Approach. Probability Distribution (discrete) and Expected value. Basics of Probability. Sample space and events.
Math 2355 Chapter 5 Section - Detailed Analysis & Overview
Linear Programming The Geometric Approach. Probability Distribution (discrete) and Expected value. Basics of Probability. Sample space and events. Forming the Dual Problem for Linear Programming. Probability - Union, Intersection and Odds. Basic counting principles for find the number of variations.
Logic - Propositions/statements, conjunctions, disjunctions, tautology, contradictions, and conditional statements. Sets - Union, Intersection and the basics of Sets. Permutations and Combinations and factorial.
