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...
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Format: | Electronic eBook |
Language: | English |
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Boston, MA :
Springer US,
2005.
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.