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User:Bismuti/Books/Optimization

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Optimization

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Volume 1

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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