Practical Optimization Algorithms and Engineering Applications /

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Eac...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Antoniou, Andreas (Συγγραφέας), Lu, Wu-Sheng (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2007.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • The Optimization Problem
  • Basic Principles
  • General Properties of Algorithms
  • One-Dimensional Optimization
  • Basic Multidimensional Gradient Methods
  • Conjugate-Direction Methods
  • Quasi-Newton Methods
  • Minimax Methods
  • Applications of Unconstrained Optimization
  • Fundamentals of Constrained Optimization
  • Linear Programming Part I: The Simplex Method
  • Linear Programming Part II: Interior-Point Methods
  • Quadratic and Convex Programming
  • Semidefinite and Second-Order Cone Programming
  • General Nonlinear Optimization Problems
  • Applications of Constrained Optimization.