Optimization—Theory and Practice

Optimization is an important field in its own right but also plays a central role in numerous applied sciences, including operations research, management science, economics, finance, and engineering. Optimization — Theory and Practice offers a modern and well-balanced presentation of various optimiz...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Forst, Wilhelm (Συγγραφέας), Hoffmann, Dieter (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2010.
Σειρά:Springer Undergraduate Texts in Mathematics and Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1. Introduction: Examples of Optimization Problems, Historical Overview
  • 2. Optimality Conditions: Convex Sets, Inequalities, Local First- and Second-Order Optimality Conditions, Duality
  • 3. Unconstrained Optimization Problems: Elementary Search and Localization Methods, Descent Methods with Line Search, Trust Region Methods, Conjugate Gradient Methods, Quasi-Newton Methods
  • 4. Linearly Constrained Optimization Problems: Linear and Quadratic Optimization, Projection Methods
  • 5. Nonlinearly Constrained Optimization Methods: Penalty Methods, SQP Methods
  • 6. Interior-Point Methods for Linear Optimization: The Central Path, Newton's Method for the Primal-Dual System, Path-Following Algorithms, Predictor-Corrector Methods
  • 7. Semidefinite Optimization: Selected Special Cases, The S-Procedure, The Function log°det, Path-Following Methods, How to Solve SDO Problems?, Icing on the Cake: Pattern Separation via Ellipsoids
  • 8. Global Optimization: Branch and Bound Methods, Cutting Plane Methods
  • Appendices: A Second Look at the Constraint Qualifications, The Fritz John Condition, Optimization Software Tools for Teaching and Learning
  • Bibliography
  • Index of Symbols
  • Subject Index.