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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Murty, Katta G. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US : Imprint: Springer, 2010.
Σειρά:International Series in Operations Research & Management Science, 137
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.