User:Eigen Axon/Books/Introduction to Optimization

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Introduction to Optimization

Theory and Techniques

Mathematical optimization

Optimization problem

Global optimization

Travelling salesman problem

Maxima and minima

Linear programming

Simplex algorithm

Duality (optimization)

Multi-objective optimization

Extreme value theorem

Karush–Kuhn–Tucker conditions

Iterative method

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

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

Nelder–Mead method

Linear interpolation

Polynomial interpolation

Chebyshev polynomials

Spline interpolation

Spline (mathematics)

Gaussian process

Whittaker–Shannon interpolation formula

Multivariate interpolation

Bilinear interpolation

Pattern search (optimization)

Golden section search

Random optimization

Memetic algorithm

Differential evolution

Dynamic relaxation

Genetic algorithm

Swarm intelligence

Particle swarm optimization

Multi-swarm optimization

Artificial bee colony algorithm

Ant colony optimization algorithms

Simulated annealing

Multidisciplinary design optimization

Non-linear least squares

Best, worst and average case

Computational phylogenetics

Protein structure prediction

Cutting-plane method

Branch and bound

Interval arithmetic

Real algebraic geometry

Monte Carlo method

Stochastic tunneling

Markov chain Monte Carlo

Parallel tempering

Evolution strategy

Graduated optimization

Kepler conjecture

Thompson sampling

Molecular modelling

Process optimization

Engineering optimization

List of optimization software

Mathematical Optimization Society

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