User:Qdevapps/Books/OPTIMIZATION

OPTIMIZATION WIKI-REVIEW

 * CONTINUOUS AND CONVEX OPTIMIZATION
 * Mathematical optimization
 * Nonlinear programming
 * Convex optimization
 * Lagrange multiplier
 * Karush–Kuhn–Tucker conditions
 * Duality (optimization)
 * Relaxation (approximation)
 * Hill climbing
 * Stochastic hill climbing
 * Gradient descent
 * Conjugate gradient method
 * Conjugate residual method
 * Preconditioner
 * Nonlinear conjugate gradient method
 * Stochastic gradient descent
 * Newton's method
 * Newton's method in optimization
 * Quasi-Newton method
 * BFGS method
 * Limited-memory BFGS
 * Hessian matrix
 * Nelder–Mead method
 * Levenberg–Marquardt algorithm
 * Gauss–Newton algorithm
 * Line search
 * Coordinate descent
 * Pattern search (optimization)
 * Golden section search
 * Brent's method
 * Interpolation search
 * Bisection method
 * Secant method
 * False position method
 * Ridders' method
 * Iterative method
 * Rate of convergence
 * Random optimization
 * Random search
 * Luus–Jaakola
 * Subderivative
 * Subgradient method
 * Interior point method
 * Projections onto convex sets
 * Maximum likelihood
 * Mean-shift


 * LINEAR PROGRAMMING AND EXTENSIONS
 * Linear programming
 * Simplex algorithm
 * Integer programming
 * Cutting-plane method
 * Linear programming relaxation
 * Branch and cut
 * Randomized rounding
 * Fractional coloring


 * COMBINATORIAL OPTIMIZATION AND SEARCH METHODS
 * Combinatorial optimization
 * Constraint satisfaction
 * Combinatorial search
 * Karp's 21 NP-complete problems
 * Boolean satisfiability problem
 * Maximum satisfiability problem
 * Assignment problem
 * Quadratic assignment problem
 * Quadratic bottleneck assignment problem
 * Knapsack problem
 * Graph (mathematics)
 * Travelling salesman problem
 * Clique problem
 * Clique cover problem
 * Vertex cover
 * Exact cover
 * Partition problem
 * Backtracking
 * Branch and bound
 * Greedy algorithm
 * Dynamic programming
 * Binary search algorithm


 * GRAPH OPTIMIZATION
 * Graph traversal
 * Tree traversal
 * Depth-first search
 * Breadth-first search
 * Best-first search
 * Beam search
 * A* search algorithm
 * B*
 * IDA*
 * Alpha–beta pruning
 * Pathfinding
 * Kruskal's algorithm
 * Prim's algorithm
 * Euclidean shortest path
 * Bellman–Ford algorithm
 * Longest path problem
 * Critical path method
 * Dijkstra's algorithm
 * Dykstra's projection algorithm
 * Minimum spanning tree


 * GLOBAL AND RANDOMIZED OPTIMIZATION
 * Metaheuristic
 * Approximation theory
 * Stochastic optimization
 * Global optimization
 * Simulated annealing
 * Monte Carlo method
 * Stochastic tunneling
 * Reactive search optimization


 * METAHEURISTICS
 * Genetic algorithm
 * Evolutionary computation
 * Genetic programming
 * Evolutionary programming
 * Evolution strategy
 * Differential evolution
 * Ant colony optimization algorithms
 * Particle swarm optimization
 * Artificial immune system
 * Cultural algorithm
 * No free lunch in search and optimization