User:Bismuti/Books/Optimization

Volume 1

 * Optimization (mathematics)
 * Maxima and minima
 * Steepest descent
 * Linear programming
 * Convex programming
 * Second order cone programming
 * Semidefinite programming
 * Matrix (mathematics)
 * Conic programming
 * Geometric programming
 * Monomials
 * Integer programming
 * Integer
 * Quadratic programming
 * Stochastic programming
 * Combinatorial optimization
 * Infinite-dimensional optimization
 * Discrete mathematics
 * Dimension
 * Heuristic algorithm
 * Metaheuristic
 * Constraint satisfaction
 * Artificial intelligence
 * Automated reasoning
 * Constraint programming
 * Trajectory optimization
 * Calculus of variations
 * Optimal control
 * Dynamic programming
 * Bellman equation
 * Mathematical programming with equilibrium constraints
 * Variational inequalities
 * Complementarity theory
 * Multiobjective optimization
 * Evolutionary Algorithm
 * Evolutionary multi-modal optimization
 * Dimensionless
 * Response surfaces
 * Optimization problem
 * Computer vision
 * System
 * Mathematical model
 * Constraint (mathematics)
 * Domain (mathematics)
 * Candidate solution
 * Functional (mathematics)
 * Convex set
 * Global optimization
 * Satisfiability problem
 * Extreme value theorem
 * Fermat's theorem (stationary points)
 * Stationary point
 * First derivative test
 * Critical point (mathematics)
 * Lagrange multiplier
 * Karush-Kuhn-Tucker conditions
 * Hessian matrix
 * Second derivative test
 * Envelope theorem
 * Maximum theorem
 * Conjugate gradient method
 * Ellipsoid method
 * Frank–Wolfe algorithm
 * Interior point methods
 * Line search
 * Nelder-Mead method
 * Newton's method in optimization
 * Quasi-Newton methods
 * Simplex method
 * Subgradient method
 * Convex function
 * Ant colony optimization
 * Bat algorithm
 * Beam search
 * Bees algorithm
 * Differential evolution
 * Dynamic relaxation
 * Evolution strategy
 * Firefly algorithm
 * Genetic algorithms
 * Harmony search
 * Hill climbing
 * IOSO
 * Particle swarm optimization
 * Quantum annealing
 * Simulated annealing
 * Stochastic tunneling
 * Tabu search
 * Engineering optimization
 * Multidisciplinary design optimization
 * Utility maximization problem
 * Dual problem
 * Expenditure minimization problem
 * Operations research
 * Linear complementarity problem
 * Hamiltonian mechanics
 * Pontryagin's minimum principle
 * Karush–Kuhn–Tucker conditions
 * Lagrangian mechanics
 * Hessian (mathematics)
 * Probability distribution
 * Information entropy
 * Saddle point
 * Gradient descent
 * Quasi-Newton method
 * Gradient
 * Stationary points
 * Costate
 * Convex optimization
 * Lagrange multipliers on Banach spaces
 * Function (mathematics)
 * Joseph Louis Lagrange