Useful Links
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
  1. 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
  1. Specialized Optimization Topics
    1. Convex Optimization
      1. Conic Programming
        1. Linear Programming as Conic
          1. Second-Order Cone Programming
            1. Semidefinite Programming
            2. Interior Point Methods for Convex Problems
              1. Proximal Methods
                1. Proximal Gradient Method
                  1. Accelerated Proximal Methods
                  2. Dual Methods
                    1. Dual Ascent
                      1. Dual Decomposition
                        1. ADMM Applications
                      2. Network Optimization
                        1. Shortest Path Problems
                          1. Dijkstra's Algorithm
                            1. Bellman-Ford Algorithm
                              1. Floyd-Warshall Algorithm
                              2. Maximum Flow Problems
                                1. Ford-Fulkerson Algorithm
                                  1. Push-Relabel Algorithms
                                  2. Minimum Cost Flow Problems
                                    1. Network Design Problems
                                    2. Game Theory and Optimization
                                      1. Nash Equilibrium
                                        1. Stackelberg Games
                                          1. Cooperative Game Theory
                                            1. Mechanism Design
                                            2. Variational Methods
                                              1. Calculus of Variations
                                                1. Optimal Control Theory
                                                  1. Pontryagin's Maximum Principle
                                                    1. Hamilton-Jacobi-Bellman Equation

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