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Systems Science
Optimization Theory
1. Foundations of Optimization
2. Mathematical Foundations
3. Unconstrained Optimization
4. Constrained Optimization Theory
5. Linear Programming
6. Nonlinear Programming
7. Integer and Combinatorial Optimization
8. Dynamic Programming
9. Stochastic Optimization
10. Heuristic and Metaheuristic Methods
11. Multi-Objective Optimization
12. Specialized Optimization Topics
13. Applications and Case Studies
14. Computational Aspects and Software
Applications and Case Studies
Engineering Applications
Structural Optimization
Topology Optimization
Shape Optimization
Size Optimization
Control Systems
Model Predictive Control
LQR and LQG Control
Robust Control Design
Signal Processing
Filter Design
Compressed Sensing
Beamforming
Machine Learning Applications
Supervised Learning
Support Vector Machines
Logistic Regression
Neural Network Training
Unsupervised Learning
Clustering Algorithms
Principal Component Analysis
Matrix Factorization
Reinforcement Learning
Policy Optimization
Value Function Approximation
Finance and Economics
Portfolio Optimization
Mean-Variance Optimization
Risk Parity
Black-Litterman Model
Risk Management
Value at Risk
Conditional Value at Risk
Stress Testing
Algorithmic Trading
Execution Algorithms
Market Making
Operations Research Applications
Supply Chain Management
Facility Location
Inventory Management
Distribution Planning
Transportation
Vehicle Routing
Crew Scheduling
Traffic Flow Optimization
Manufacturing
Production Planning
Scheduling Problems
Quality Control
Energy and Environment
Power System Optimization
Economic Dispatch
Unit Commitment
Optimal Power Flow
Renewable Energy Integration
Environmental Management
Pollution Control
Resource Allocation
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14. Computational Aspects and Software