Optimization

Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Build...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Lange, Kenneth (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
Έκδοση:2nd ed. 2013.
Σειρά:Springer Texts in Statistics, 95
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Elementary Optimization
  • The Seven C’s of Analysis
  • The Gauge Integral
  • Differentiation
  • Karush-Kuhn-Tucker Theory
  • Convexity
  • Block Relaxation
  • The MM Algorithm
  • The EM Algorithm
  • Newton’s Method and Scoring
  • Conjugate Gradient and Quasi-Newton
  • Analysis of Convergence
  • Penalty and Barrier Methods
  • Convex Calculus
  • Feasibility and Duality
  • Convex Minimization Algorithms
  • The Calculus of Variations
  • Appendix: Mathematical Notes
  • References
  • Index.