Jump to content

User:Zarzuelazen/Books/Reality Theory: Optimization

From Wikipedia, the free encyclopedia


Reality Theory: Optimization

[edit]
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