Linear Programming Lecture Notes
Linear Programming : Penn State Math 484Lecture NotesVersion Griffin 2009-2014Licensed under a Creative Commons Attribution-Noncommercial-Share Alike United States LicenseWith Contributions By:Bob Pakzad-HursonGreg FerenceVeselka KafedzhievaMichael ClineAkinwale AkinbiyiEthan WrightRichard BenjaminDouglas MercerContentsList of FiguresvPrefaceixChapter 1. Introduction to Optimization11. A General Maximization Formulation22. Some Geometry for Optimization43. Gradients, Constraints and Optimization10Chapter 2. Simple Linear Programming Problems131.
Extreme Points59 7. Extreme Directions62 iii. 8. Caratheodory Characterization Theorem64 Chapter 5. The Simplex Method69 1. Linear Programming and Extreme Points69 2. Algorithmic Characterization of Extreme Points70 3. The Simplex Algorithm{Algebraic Form71 4. Simplex Method{Tableau Form78 5. Identifying Unboundedness81
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