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Optimization for Decision Making Linear and Quadratic Models

Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions...

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Bibliographic Details
Main Author: Murty, Katta G.
Format: eBook
Language:English
Published: New York, NY Springer US 2010, 2010
Edition:1st ed. 2010
Series:International Series in Operations Research & Management Science
Subjects:
Operations Research, Management Science
Operations Research
Optimization
Industrial Engineering
Management Science
Industrial And Production Engineering
Mathematical Modeling And Industrial Mathematics
Mathematical Optimization
Operations Research And Decision Theory
Production Engineering
Mathematical Models
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Linear Equations, Inequalities, Linear Programming: A Brief Historical Overview
  • Formulation Techniques Involving Transformations of Variables
  • Intelligent Modeling Essential to Get Good Results
  • Polyhedral Geometry
  • Duality Theory and Optimality Conditions for LPs
  • Revised Simplex Variants of the Primal and Dual Simplex Methods and Sensitivity Analysis
  • Interior Point Methods for LP
  • Sphere Methods for LP
  • Quadratic Programming Models

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