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This is the Practical Approximation Algorithms Library.
Contents
The library consists of several sublibraries
Algorithms
Local Search
2-opt for Traveling Salesman Problem
Facility Location
K-Median
Capacitated Facility Location
Iterative Rounding
Bounded-Degree Minimum Spanning Tree
Generalised Assignment
Steiner Network
Tree Augmentation
Steiner Tree 1.39 Approximation
Greedy
Budgeted Maximum Coverage
Maximum Coverage
K-center
Minimum K-Cut
Knapsack Greedy
Shortest Superstring
Scheduling Jobs
Scheduling Jobs on Identical Parallel Machines
Scheduling Jobs with Deadlines on a Single Machine
Steiner Tree Greedy
Set Cover
Dynamic
Knapsack Dynamic
Knapsack 0/1 FPTAS
Exact
Steiner Tree Dreyfus Wagner
Linear Programming
Multiway Cut
Combinatorial Auctions
Winner Determination in MUCA
Fractional Winner Determination in MUCA
Regression
Locality-sensitive hashing nearest neighbors regression
Miscellaneous
Steiner Tree 11/6 Approximation
Clustering
k-means clustering engine
k-means clustering
Sketch
Frequent-directions
Concepts
Metric
Cycle
Voronoi
Data Structures
Components
2k-1 Approximate Vertex-Vertex Distance Oracle
paal::data_structures::stack
paal::data_structures::graph_metric
paal::data_structures::array_metric
paal::data_structures::euclidean_metric
paal::data_structures::simple_cycle
paal::data_structures::splay_cycle
paal::data_structures::object_with_copy
paal::data_structures::facility_location_solution
paal::data_structures::voronoi
paal::data_structures::capacitated_voronoi
paal::data_structures::subsets_iterator
paal::data_structures::vertex_to_edge_iterator
paal::data_structures::bimap
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