User:Eigen Axon/Books/Introduction to Optimization

Theory and Techniques

 * 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