Nonlinear Optimization with Financial Applications

• The book introduces the key ideas behind practical nonlinear optimization. • Computational finance—an increasingly popular area of mathematics degree programmes—is combined here with the study of an important class of numerical techniques. • The financial content of the book is designed to be rel...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Bartholomew-Biggs, Michael (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2005.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Portfolio Optimization
  • One-Variable Optimization
  • Optimal Portfolios with N Assets
  • Unconstrained Optimization in N Variables
  • The Steepest Descent Method
  • The Newton Method
  • Quasi-Newton Methods
  • Conjugate Gradient Methods
  • Optimal Portfolios with Restrictions
  • Larger-Scale Portfolios
  • Data-Fitting & The Gauss-Newton Method
  • Equality Constrained Optimization
  • Linear Equality Constraints
  • Penalty Function Methods
  • Sequential Quadratic Programming
  • Further Portfolio Problems
  • Inequality Constrained Optimization
  • Extending Equality-Constraint Methods to Inequalities
  • Barrier Function Methods
  • Interior Point Methods
  • Data Fitting Using Inequality Constraints
  • Portfolio Re-Balancing and other Problems
  • Global Unconstrained Optimization.