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
Call Number:Libro Electrónico
Main Author: Murty, Katta G. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer US : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:International Series in Operations Research & Management Science, 137
Subjects:
Mathematical models.
Operations research.
Management science.
Mathematical optimization.
Industrial engineering.
Production engineering.
Mathematical Modeling and Industrial Mathematics.
Operations Research and Decision Theory.
Operations Research, Management Science .
Optimization.
Industrial and Production Engineering.
Online Access:Texto Completo
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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