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Title: Approximation algorithm - Wikipedia

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(Top) https://en.wikipedia.org/wiki/Approximation_algorithm
1 Introduction https://en.wikipedia.org/wiki/Approximation_algorithm#Introduction
2 Algorithm design techniques https://en.wikipedia.org/wiki/Approximation_algorithm#Algorithm_design_techniques
3 A posteriori guarantees https://en.wikipedia.org/wiki/Approximation_algorithm#A_posteriori_guarantees
4 Hardness of approximation https://en.wikipedia.org/wiki/Approximation_algorithm#Hardness_of_approximation
5 Practicality https://en.wikipedia.org/wiki/Approximation_algorithm#Practicality
6 Structure of approximation algorithms https://en.wikipedia.org/wiki/Approximation_algorithm#Structure_of_approximation_algorithms
7 Performance guarantees https://en.wikipedia.org/wiki/Approximation_algorithm#Performance_guarantees
8 Epsilon terms https://en.wikipedia.org/wiki/Approximation_algorithm#Epsilon_terms
9 See also https://en.wikipedia.org/wiki/Approximation_algorithm#See_also
10 Citations https://en.wikipedia.org/wiki/Approximation_algorithm#Citations
11 References https://en.wikipedia.org/wiki/Approximation_algorithm#References
12 External links https://en.wikipedia.org/wiki/Approximation_algorithm#External_links
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computer sciencehttps://en.wikipedia.org/wiki/Computer_science
operations researchhttps://en.wikipedia.org/wiki/Operations_research
efficienthttps://en.wikipedia.org/wiki/Time_complexity#Polynomial_time
algorithmshttps://en.wikipedia.org/wiki/Algorithm
approximatehttps://en.wikipedia.org/wiki/Approximation
optimization problemshttps://en.wikipedia.org/wiki/Optimization_problem
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theoretical computer sciencehttps://en.wikipedia.org/wiki/Theoretical_computer_science
P ≠ NPhttps://en.wikipedia.org/wiki/P_versus_NP_problem
polynomial timehttps://en.wikipedia.org/wiki/Time_complexity
Christofides-Serdyukov algorithmhttps://en.wikipedia.org/wiki/Christofides-Serdyukov_algorithm
Travelling salesman problemhttps://en.wikipedia.org/wiki/Travelling_salesman_problem
Vizing’s theoremhttps://en.wikipedia.org/wiki/Vizing%27s_theorem
Lenstrahttps://en.wikipedia.org/wiki/Jan_Karel_Lenstra
Shmoyshttps://en.wikipedia.org/wiki/David_Shmoys
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analysishttps://en.wikipedia.org/wiki/Mathematical_analysis
mathematical proofhttps://en.wikipedia.org/wiki/Mathematical_proof
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Approximation Algorithms for NP-Hard problemshttps://en.wikipedia.org/w/index.php?title=Approximation_Algorithms_for_NP-Hard_problems&action=edit&redlink=1
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Davidon–Fletcher–Powellhttps://en.wikipedia.org/wiki/Davidon%E2%80%93Fletcher%E2%80%93Powell_formula
Symmetric rank-one (SR1)https://en.wikipedia.org/wiki/Symmetric_rank-one
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Conjugate gradienthttps://en.wikipedia.org/wiki/Nonlinear_conjugate_gradient_method
Gauss–Newtonhttps://en.wikipedia.org/wiki/Gauss%E2%80%93Newton_algorithm
Gradienthttps://en.wikipedia.org/wiki/Gradient_descent
Mirrorhttps://en.wikipedia.org/wiki/Mirror_descent
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Truncated Newtonhttps://en.wikipedia.org/wiki/Truncated_Newton_method
Hessianshttps://en.wikipedia.org/wiki/Hessian_matrix
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Sequential quadratic programminghttps://en.wikipedia.org/wiki/Sequential_quadratic_programming
Successive linear programminghttps://en.wikipedia.org/wiki/Successive_linear_programming
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Convex minimizationhttps://en.wikipedia.org/wiki/Convex_minimization
Cutting-plane methodhttps://en.wikipedia.org/wiki/Cutting-plane_method
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Affine scalinghttps://en.wikipedia.org/wiki/Affine_scaling
Ellipsoid algorithm of Khachiyanhttps://en.wikipedia.org/wiki/Ellipsoid_method
Projective algorithm of Karmarkarhttps://en.wikipedia.org/wiki/Karmarkar%27s_algorithm
Basis-https://en.wikipedia.org/wiki/Matroid
exchangehttps://en.wikipedia.org/wiki/Exchange_algorithm
Simplex algorithm of Dantzighttps://en.wikipedia.org/wiki/Simplex_algorithm
Revised simplex algorithmhttps://en.wikipedia.org/wiki/Revised_simplex_method
Criss-cross algorithmhttps://en.wikipedia.org/wiki/Criss-cross_algorithm
Principal pivoting algorithm of Lemkehttps://en.wikipedia.org/wiki/Lemke%27s_algorithm
Active-set methodhttps://en.wikipedia.org/wiki/Active-set_method
Combinatorialhttps://en.wikipedia.org/wiki/Combinatorial_optimization
Dynamic programminghttps://en.wikipedia.org/wiki/Dynamic_programming
Greedy algorithmhttps://en.wikipedia.org/wiki/Greedy_algorithm
Integer programminghttps://en.wikipedia.org/wiki/Integer_programming
Branch and boundhttps://en.wikipedia.org/wiki/Branch_and_bound
cuthttps://en.wikipedia.org/wiki/Branch_and_cut
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Minimum spanning treehttps://en.wikipedia.org/wiki/Minimum_spanning_tree
Borůvkahttps://en.wikipedia.org/wiki/Bor%C5%AFvka%27s_algorithm
Primhttps://en.wikipedia.org/wiki/Prim%27s_algorithm
Kruskalhttps://en.wikipedia.org/wiki/Kruskal%27s_algorithm
Shortest pathhttps://en.wikipedia.org/wiki/Shortest_path_problem
Bellman–Fordhttps://en.wikipedia.org/wiki/Bellman%E2%80%93Ford_algorithm
SPFAhttps://en.wikipedia.org/wiki/Shortest_Path_Faster_Algorithm
Dijkstrahttps://en.wikipedia.org/wiki/Dijkstra%27s_algorithm
Floyd–Warshallhttps://en.wikipedia.org/wiki/Floyd%E2%80%93Warshall_algorithm
Network flowshttps://en.wikipedia.org/wiki/Flow_network
Dinichttps://en.wikipedia.org/wiki/Dinic%27s_algorithm
Edmonds–Karphttps://en.wikipedia.org/wiki/Edmonds%E2%80%93Karp_algorithm
Ford–Fulkersonhttps://en.wikipedia.org/wiki/Ford%E2%80%93Fulkerson_algorithm
Push–relabel maximum flowhttps://en.wikipedia.org/wiki/Push%E2%80%93relabel_maximum_flow_algorithm
Metaheuristicshttps://en.wikipedia.org/wiki/Metaheuristic
Evolutionary algorithmhttps://en.wikipedia.org/wiki/Evolutionary_algorithm
Hill climbinghttps://en.wikipedia.org/wiki/Hill_climbing
Local searchhttps://en.wikipedia.org/wiki/Local_search_(optimization)
Parallel metaheuristicshttps://en.wikipedia.org/wiki/Parallel_metaheuristic
Simulated annealinghttps://en.wikipedia.org/wiki/Simulated_annealing
Spiral optimization algorithmhttps://en.wikipedia.org/wiki/Spiral_optimization_algorithm
Tabu searchhttps://en.wikipedia.org/wiki/Tabu_search
Softwarehttps://en.wikipedia.org/wiki/Comparison_of_optimization_software
Authority control databaseshttps://en.wikipedia.org/wiki/Help:Authority_control
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