User:Kkamhawi/Books/Optimisation (Mathematical Programming)

Optimisation (Mathematical Programming)

 * 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