User:Eigen Axon/Books/Introduction to Optimization
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Introduction to Optimization
[edit]Theory and Techniques
[edit]- Mathematical optimization
- Optimization problem
- Global optimization
- Travelling salesman problem
- Maxima and minima
- Loss function
- Arg max
- Linear programming
- Simplex algorithm
- Duality (optimization)
- Multi-objective optimization
- Satisfiability
- Extreme value theorem
- Karush–Kuhn–Tucker conditions
- Iterative method
- Convex set
- Variational inequality
- Convex optimization
- Integer programming
- Quadratic programming
- Fractional programming
- Nonlinear programming
- Stochastic programming
- Robust optimization
- Combinatorial optimization
- Stochastic optimization
- Infinite-dimensional optimization
- Heuristic (computer science)
- Constraint satisfaction
- Constraint programming
- Calculus of variations
- Optimal control
- Dynamic programming
- Evolutionary algorithm
- Envelope theorem
- Maximum theorem
- Hessian matrix
- Newton's method
- Quasi-Newton method
- Finite difference
- Approximation theory
- Numerical analysis
- Newton's method in optimization
- Sequential quadratic programming
- Conjugate gradient method
- Interior point method
- Gradient descent
- Subgradient method
- Ellipsoid method
- Frank–Wolfe algorithm
- Simultaneous perturbation stochastic approximation
- Interpolation
- Nelder–Mead method
- Linear interpolation
- Polynomial interpolation
- Chebyshev polynomials
- Spline interpolation
- Spline (mathematics)
- Gaussian process
- Whittaker–Shannon interpolation formula
- Multivariate interpolation
- Curve fitting
- Bilinear interpolation
- Pattern search (optimization)
- Golden section search
- Luus–Jaakola
- Random search
- Random optimization
- Memetic algorithm
- Differential evolution
- Dynamic relaxation
- Genetic algorithm
- Hill climbing
- Swarm intelligence
- Particle swarm optimization
- Multi-swarm optimization
- Artificial bee colony algorithm
- Ant colony optimization algorithms
- Simulated annealing
- Tabu search
- Multidisciplinary design optimization
- Least squares
- Non-linear least squares
- Best, worst and average case
- Computational phylogenetics
- Protein structure prediction
- Cutting-plane method
- Branch and bound
- Interval arithmetic
- Set inversion
- Real algebraic geometry
- Monte Carlo method
- Stochastic tunneling
- Markov chain Monte Carlo
- Parallel tempering
- Metaheuristic
- Evolution strategy
- Graduated optimization
- Kepler conjecture
- Thompson sampling
- Molecular modelling
- Process optimization
- Engineering optimization
- LIONsolver
- List of optimization software
- Mathematical Optimization Society