User:Kkamhawi/Books/Optimisation (Mathematical Programming)
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Optimisation (Mathematical Programming)
[edit]- Introduction
- Mathematical optimization
- Optimization problem
- Decision problem
- Loss function
- Convext Optimisation
- Convex optimization
- Convex function
- Convex set
- Convex polytope
- Linear programming
- Second-order cone programming
- Semidefinite programming
- Conic optimization
- Geometric programming
- Integer programming
- Nonlinear Optimisation
- Quadratic programming
- Fractional programming
- Nonlinear programming
- Stochastic programming
- Robust optimization
- Combinatorial optimization
- Stochastic optimization
- Infinite-dimensional optimization
- Heuristic (computer science)
- Metaheuristic
- Constraint satisfaction
- Constraint programming
- Space mapping
- Mathematical Methods
- Hessian matrix
- Positive-definite matrix
- Rademacher's theorem
- Convex analysis
- Lagrange multiplier
- Mathematical programming with equilibrium constraints
- Karush–Kuhn–Tucker conditions
- Iterative method
- Newton's method in optimization
- Quasi-Newton method
- Sequential quadratic programming
- Interior point method
- Coordinate descent
- Conjugate gradient method
- Gradient descent
- Subgradient method
- Ellipsoid method
- Frank–Wolfe algorithm
- Simultaneous perturbation stochastic approximation
- Pattern search (optimization)
- Nelder–Mead method
- Heuristic Algorithms
- Memetic algorithm
- Differential evolution
- Evolutionary algorithm
- Dynamic relaxation
- Genetic algorithm
- Hill climbing
- Particle swarm optimization
- Artificial bee colony algorithm
- Simulated annealing
- Stochastic tunneling
- Tabu search
- LIONsolver