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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Springer US : Imprint: Springer,
2010.
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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.