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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
Computational Aspects and Software
Numerical Considerations
Floating Point Arithmetic
Conditioning and Stability
Scaling and Preconditioning
Convergence Criteria
Algorithm Implementation
Data Structures
Memory Management
Parallel Computing
GPU Acceleration
Software Tools and Libraries
Modeling Languages
AMPL
GAMS
Pyomo
Solver Interfaces
Commercial Solvers
Open Source Solvers
Performance Analysis
Computational Complexity
Benchmarking
Profiling and Optimization
Scalability Analysis
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13. Applications and Case Studies
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1. Foundations of Optimization