This book offers a unique pathway to methods of parallel optimization by introducing parallel computing ideas into both optimization theory and into some numerical algorithms for large-scale optimization problems. The three parts of the book bring together relevant theory, careful study of algorithms, and modeling of significant real world problems such as image reconstruction, radiation therapy treatment planning, financial planning, transportation and multi-commodity network flow problems, planning under uncertainty, and matrix balancing problems.
This book offers a unique pathway to methods of parallel optimization by introducing parallel computing ideas into both optimization theory and into s...
Practical Financial Optimization is a comprehensive guide to optimization techniques in financial decision making. This book illuminates the relationship between theory and practice, providing the readers with solid foundational knowledge.
Focuses on classical static mean-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between classes of models
Analyizes real world applications and implications for financial engineers
Includes a list of models and a section on notations...
Practical Financial Optimization is a comprehensive guide to optimization techniques in financial decision making. This book illuminates the re...