User:Zarzuelazen/Books/Reality Theory: Optimization

Reality Theory: Optimization

 * A* search algorithm
 * Action selection
 * Active set method
 * Adaptive system
 * Aitken's delta-squared process
 * AIXI
 * Alpha shape
 * AlphaGo
 * AlphaGo versus Lee Sedol
 * AlphaGo Zero
 * AlphaZero
 * Alpha–beta pruning
 * Ant colony optimization algorithms
 * Any-angle path planning
 * Apprenticeship learning
 * Approximate max-flow min-cut theorem
 * Approximation
 * Approximation algorithm
 * Approximation error
 * Approximation theory
 * Arg max
 * Arrangement (space partition)
 * Arrangement of hyperplanes
 * Arrangement of lines
 * Artificial intelligence in video games
 * Artificial life
 * Assignment problem
 * Attractor
 * Auction algorithm
 * Augmented Lagrangian method
 * Automated planning and scheduling
 * Automatic differentiation
 * Autonomous system (mathematics)
 * B*
 * Backjumping
 * Backmarking
 * Backtracking
 * Backward Euler method
 * Barrier function
 * Base flow (random dynamical systems)
 * Bayesian optimization
 * Beam search
 * Behavior tree (artificial intelligence, robotics and control)
 * Behavior-based robotics
 * Belief–desire–intention software model
 * Bellman equation
 * Bellman–Ford algorithm
 * Beltrami identity
 * Bernoulli scheme
 * Best-first search
 * Bidirectional search
 * Bifurcation diagram
 * Bifurcation theory
 * Bin packing problem
 * Birth–death process
 * Bisection method
 * Bitboard
 * Board representation (chess)
 * Borůvka's algorithm
 * Branch and bound
 * Breadth-first search
 * Brute-force search
 * Butterfly effect
 * Calculus of variations
 * Cantor set
 * Catastrophe theory
 * Causal loop diagram
 * Causal system
 * Cellular evolutionary algorithm
 * Center manifold
 * Chaos game
 * Chaos theory
 * Chess engine
 * Chess opening book (computers)
 * Christofides algorithm
 * Chromosome (genetic algorithm)
 * Circle packing
 * Circle packing theorem
 * Circulation problem
 * Close-packing of equal spheres
 * CMA-ES
 * Collective intelligence
 * Collocation method
 * Combinatorial optimization
 * Combinatorial search
 * Complementarity theory
 * Complex adaptive system
 * Complex system
 * Complexity
 * Computable topology
 * Computational geometry
 * Computational topology
 * Computer bridge
 * Computer chess
 * Computer Go
 * Computer poker player
 * Computer shogi
 * Condition number
 * Conflict resolution strategy
 * Conic optimization
 * Constrained optimization
 * Constraint (mathematics)
 * Constraint Composite Graph
 * Constraint graph
 * Constraint learning
 * Constraint programming
 * Constraint satisfaction
 * Constraint satisfaction problem
 * Continuous optimization
 * Convergence (evolutionary computing)
 * Convex hull
 * Convex optimization
 * Coordinate descent
 * Costate equation
 * Coupled map lattice
 * Covering problems
 * Critical point (mathematics)
 * Cross-entropy method
 * Crossover (genetic algorithm)
 * Curtis–Hedlund–Lyndon theorem
 * Cut (graph theory)
 * Cutting stock problem
 * Cutting-plane method
 * Cybernetics
 * D*
 * Deep Blue (chess computer)
 * Deep Blue versus Garry Kasparov
 * Delaunay triangulation
 * Delone set
 * Depth-first search
 * Derivative test
 * Derivative-free optimization
 * Deterministic system
 * Difference quotient
 * Differentiable programming
 * Differential evolution
 * Dijkstra's algorithm
 * Dinic's algorithm
 * Discrete calculus
 * Discrete geometry
 * Discrete optimization
 * Discrete space
 * Discrete time and continuous time
 * Discretization
 * Discretization error
 * Domain decomposition methods
 * Dual-phase evolution
 * Duality (optimization)
 * Duality gap
 * Dynamic programming
 * Dynamical system
 * Dynamical system (definition)
 * Dynamical systems theory
 * Edge cover
 * Edge of chaos
 * Edmonds–Karp algorithm
 * Elementary effects method
 * End-to-end reinforcement learning
 * Endgame tablebase
 * Equidistributed sequence
 * Equilibrium point
 * Ergodic theory
 * Ergodicity
 * Estimation of distribution algorithm
 * Ethical regulator
 * Euler method
 * Euler–Lagrange equation
 * Evaluation function
 * Evolution strategy
 * Evolutionary algorithm
 * Evolutionary computation
 * Evolutionary multimodal optimization
 * Expectiminimax tree
 * Explicit and implicit methods
 * Exploration problem
 * Exponential integrator
 * Facility location problem
 * Farkas' lemma
 * Feasible region
 * Feedback
 * Feigenbaum constants
 * Fermat's theorem (stationary points)
 * Finite difference
 * Finite difference method
 * Fitness approximation
 * Fitness function
 * Fitness landscape
 * Fitness proportionate selection
 * Fixed-point iteration
 * Flow (mathematics)
 * Flow network
 * Flow shop scheduling
 * Floyd–Warshall algorithm
 * Ford–Fulkerson algorithm
 * Fractal
 * Fractal canopy
 * Fractal dimension
 * Fractional programming
 * Functional derivative
 * Fuzzy control system
 * Gaussian adaptation
 * Gaussian quadrature
 * Gauss–Newton algorithm
 * Gene expression programming
 * General game playing
 * General linear methods
 * Genetic algorithm
 * Genetic algorithm scheduling
 * Genetic operator
 * Genetic programming
 * Genetic representation
 * Geometric programming
 * Global optimization
 * Good regulator
 * Gradient descent
 * Grammatical evolution
 * Graph cut optimization
 * Graph traversal
 * Greedy algorithm
 * Guided Local Search
 * Gödel machine
 * H tree
 * Halley's method
 * Hamiltonian (control theory)
 * Hartman–Grobman theorem
 * Heteroclinic orbit
 * Heuristic (computer science)
 * Hierarchical control system
 * Hierarchical task network
 * Hilbert curve
 * Hill climbing
 * Homoclinic orbit
 * Hopf bifurcation
 * Horizon effect
 * Householder's method
 * Human-based genetic algorithm
 * Human–computer chess matches
 * Hyper-heuristic
 * Hyperbolic equilibrium point
 * Hyperbolic set
 * Hysteresis
 * Hénon map
 * Incremental heuristic search
 * Indefinite sum
 * Infinite-dimensional optimization
 * Inflection point
 * Inheritance (genetic algorithm)
 * Integer programming
 * Interior-point method
 * Intermittency
 * Interval arithmetic
 * Invariant measure
 * Iterated function
 * Iterated function system
 * Iterated local search
 * Iterative deepening A*
 * Iterative deepening depth-first search
 * Iterative method
 * Job shop scheduling
 * Johnson's algorithm
 * Julia set
 * Jump point search
 * Karush–Kuhn–Tucker conditions
 * Kendall's notation
 * Killer heuristic
 * Kissing number problem
 * Knapsack problem
 * Koch snowflake
 * Kruskal's algorithm
 * Krylov–Bogolyubov theorem
 * Kuramoto model
 * Lagrange multiplier
 * Lagrange multipliers on Banach spaces
 * Lagrangian relaxation
 * Learning automaton
 * Learning classifier system
 * Levenberg–Marquardt algorithm
 * Limit cycle
 * Limit set
 * Line search
 * Linear approximation
 * Linear difference equation
 * Linear dynamical system
 * Linear multistep method
 * Linear programming
 * Linear system
 * Linear time-invariant system
 * Linearization
 * Little's law
 * Local consistency
 * Local optimum
 * Local search (constraint satisfaction)
 * Local search (optimization)
 * Logistic map
 * Longest path problem
 * Look-ahead (backtracking)
 * Lorenz system
 * Loss function
 * Loss of significance
 * Lyapunov exponent
 * Lyapunov function
 * Lyapunov optimization
 * Lyapunov stability
 * Lyapunov time
 * Makespan
 * Mandelbrot set
 * Markov decision process
 * Markov partition
 * Master stability function
 * Matching (graph theory)
 * Mathematical optimization
 * Max-flow min-cut theorem
 * Maxima and minima
 * Maximum cut
 * Maximum flow problem
 * Measure-preserving dynamical system
 * Memetic algorithm
 * Meshfree methods
 * Meta-optimization
 * Metaheuristic
 * Metastability
 * Minimax
 * Minimum cut
 * Minimum spanning tree
 * Minimum-cost flow problem
 * Mixing (mathematics)
 * Monte Carlo integration
 * Monte Carlo localization
 * Monte Carlo tree search
 * Motion planning
 * Muller's method
 * Multi-agent system
 * Multi-armed bandit
 * Multi-commodity flow problem
 * Multi-objective optimization
 * Multiplicative weight update method
 * Mutation (genetic algorithm)
 * Natural evolution strategy
 * Navigation function
 * Nearest neighbor search
 * Negamax
 * Network simplex algorithm
 * Neuroevolution
 * Newton's method
 * Newton's method in optimization
 * Newton–Cotes formulas
 * NK model
 * No free lunch in search and optimization
 * Nonlinear programming
 * Nonlinear system
 * Nonlinear system identification
 * Normal form (dynamical systems)
 * Numerical analysis
 * Numerical differentiation
 * Numerical integration
 * Numerical methods for ordinary differential equations
 * Numerical partial differential equations
 * Numerical stability
 * Nyquist stability criterion
 * Open-shop scheduling
 * Operations research
 * Optimal control
 * Optimal substructure
 * Optimization problem
 * Orbit (dynamics)
 * Ornstein isomorphism theorem
 * Overlapping subproblems
 * Packing density
 * Packing problems
 * Parallel metaheuristic
 * Parametric programming
 * Partial-order planning
 * Partially observable Markov decision process
 * Particle swarm optimization
 * Pathfinding
 * Peano curve
 * Penalty method
 * Perceptual control theory
 * Period-doubling bifurcation
 * Periodic point
 * Persistent homology
 * Perturbation function
 * Phase line (mathematics)
 * Phase plane
 * Phase portrait
 * Planar straight-line graph
 * Poincaré map
 * Poincaré recurrence theorem
 * Point location
 * Point set triangulation
 * Polygon triangulation
 * Pontryagin's maximum principle
 * Population-based incremental learning
 * Posynomial
 * Power diagram
 * Preconditioner
 * Preference-based planning
 * Premature convergence
 * Prim's algorithm
 * Principal variation search
 * Probabilistic roadmap
 * Procedural reasoning system
 * Product-form solution
 * Production system (computer science)
 * Projected dynamical system
 * Propagation of uncertainty
 * Pseudo-Boolean function
 * Pullback attractor
 * Q-learning
 * Quadratic programming
 * Quadratic pseudo-Boolean optimization
 * Quadrature (mathematics)
 * Quantum annealing
 * Quantum optimization algorithms
 * Quasi-Monte Carlo method
 * Quasi-Newton Least Squares Method
 * Quasi-Newton method
 * Queueing theory
 * Quiescence search
 * Random dynamical system
 * Random search
 * Range searching
 * Rapidly-exploring random tree
 * Rate of convergence
 * Reactive planning
 * Reasoning system
 * Recurrence plot
 * Recurrence relation
 * Regula falsi
 * Reinforcement learning
 * Relaxation (approximation)
 * Rete algorithm
 * Reward-based selection
 * Robot navigation
 * Robotic mapping
 * Robust optimization
 * Robustification
 * Root-finding algorithm
 * Round-off error
 * Runge–Kutta methods
 * Saddle point
 * Saddle-node bifurcation
 * Scenario optimization
 * Search algorithm
 * Secant method
 * Second partial derivative test
 * Second-order cone programming
 * Selection (genetic algorithm)
 * Self-assembly
 * Self-organization
 * Self-organized criticality
 * Self-oscillation
 * Self-replication
 * Self-similarity
 * Semidefinite programming
 * Sensitivity analysis
 * Sequential minimal optimization
 * Series acceleration
 * Set cover problem
 * Set packing
 * Shape optimization
 * Sharkovskii's theorem
 * Shift space
 * Shift-invariant system
 * Shortest path problem
 * Sierpiński triangle
 * Significance arithmetic
 * Signomial
 * Simplex algorithm
 * Simulated annealing
 * Simulation-based optimization
 * Simultaneous localization and mapping
 * Slack variable
 * Slow manifold
 * Space-filling curve
 * Sphere packing
 * Spontaneous order
 * Spreading activation
 * Stability criterion
 * Stability radius
 * Stability theory
 * Stable manifold
 * State space
 * State space planning
 * State space search
 * State variable
 * State–action–reward–state–action
 * Stationary point
 * Steady state
 * Steffensen's method
 * Stiff equation
 * Stochastic approximation
 * Stochastic calculus
 * Stochastic cellular automaton
 * Stochastic differential equation
 * Stochastic diffusion search
 * Stochastic dynamic programming
 * Stochastic gradient descent
 * Stochastic optimization
 * Stochastic partial differential equation
 * Stochastic programming
 * Stochastic universal sampling
 * Stockfish (chess)
 * Strong duality
 * Structural stability
 * Subgradient method
 * Submodular set function
 * Subshift of finite type
 * Subsumption architecture
 * Sum-of-squares optimization
 * Supermodular function
 * Swarm intelligence
 * Symbolic dynamics
 * Synchronization
 * System
 * System dynamics
 * System identification
 * Systems science
 * Systems theory
 * Tabu search
 * Temporal difference learning
 * Test functions for optimization
 * Thompson sampling
 * Time reversibility
 * Time-invariant system
 * Time-variant system
 * Topological conjugacy
 * Topology optimization
 * Tournament selection
 * Trajectory optimization
 * Transportation theory (mathematics)
 * Transposition table
 * Transshipment problem
 * Travelling salesman problem
 * Tree traversal
 * Triangulation (geometry)
 * Truncation error
 * Truncation error (numerical integration)
 * Trust region
 * Uncertainty quantification
 * Van der Pol oscillator
 * Variance-based sensitivity analysis
 * Variation (game tree)
 * Variational inequality
 * Variety (cybernetics)
 * Vector optimization
 * Vehicle routing problem
 * Vertex cover
 * Visibility graph
 * Von Neumann universal constructor
 * Voronoi diagram
 * Wandering set
 * Weak duality
 * Weighted Voronoi diagram
 * Winner-take-all in action selection
 * Wolfe conditions
 * Zobrist hashing