LGenerics

Collection of generic algorithms and data structures entirely written in/for FPC and Lazarus. Started as a self-education project, it now seems quite comfortable and fast. In order to use it (FPC 3.3.1 and higher and Lazarus 1.9.0 and higher):

• open and compile package lgenerics/LGenerics.lpk.

• add LGenerics package to project dependencies.

Implemented primitives:

• stack(unit LGStack)
• queue(unit LGQueue)
• deque(unit LGDeque)
• vector(unit LGVector)
• vector of bits(unit LGVector)
• priority queue based on binary heap(unit LGPriorityQueue)
• priority queue with key update and melding based on pairing heap(unit LGPriorityQueue)
• sorted list(unit LGList)
• hashed list - array based list with the ability to fast search by key(unit LGList)
• hashset(unit LGHashSet)
• fine-grained concurrent hashset(unit LGHashSet)
• sorted set(unit LGTreeSet)
• hash multiset(unit LGHashMultiSet)
• fine-grained concurrent hashmultiset(unit LGHashMultiSet)
• sorted multiset(unit LGTreeMultiSet)
• hashmap(unit LGHashMap)
• fine-grained concurrent hashmap(unit LGHashMap)
• sorted map(unit LGTreeMap)
• hash multimap(unit LGMultiMap)
• tree multimap(unit LGMultiMap)
• list miltimap(unit LGMultiMap)
• bijective map(unit LGBiMap)
• sparse 2D table(unit LGTable2D)
• disjoint set(unit LGHashSet)
• rooted tree(unit LGRootTree)
• sparse labeled undirected graph(unit LGSimpleGraph)
• sparse labeled directed graph(unit LGSimpleDigraph)

features:

• extended IEnumearble interface - filtering, mapping, etc.
• lite containers based on advanced records

Implemented graph features:

• core functions:
  • vertices/edges addition/removal/query/enumeration, edge contraction, degree
  • load/save to own binary format, primitive export to DOT format
• connectivity:
  • connected/strongly connected components, bipartite detection, degeneracy, k-core
  • articulation points, bridges, biconnected components
  • edge-connectivity
• traversals:
  • BFS/DFS traversals with visitors,
  • cycle/negative cycle detection,
  • topological sort
• operations:
  • induced subgraphs, complement, reverse, union, intersect, symmetric difference,
• chordality testing
• planarity testing: FMR Left-Right Planarity algorithm
• distance within graph:
  • eccentricity, radius, diameter, center, periphery
• matching:
  • maximum cardinality matching on bipartite/arbitrary graphs
  • minimum/maximum weight matching on bipartite graphs
• dominators in flowgraps: simple iterative and Semi-NCA algorithms
• some suggestions for NP-hard problems:
  • maximum independent set, maximal independent sets enumeration
  • maximum clique, cliques enumeration
  • minimum vertex cover, minimal vertex covers enumeration
  • vertex coloring, approximations and exact
  • minimum dominating set
  • Hamiltonian cycles and paths
  • local search TSP approximations, BnB TSP solver
• minimum spanning trees: Prims's and Kruskal's algorithms
• single source shortest paths:
  • Dijkstra with pairing heap, A*, Bellman-Ford-Moor with Tarjan's subtree disassembly(BFMT)
• all pairs shortest paths:
  • Floyd–Warshall, Johnson, BFMT
• networks:
  • maximum flow: push/relabel, capacity scaling Dinitz
  • minimum-cost flow: Busacker-Gowen, cost scaling push/relabel algorithm
  • global minimum cut: Stoer–Wagner, Nagamochi-Ibaraki

Algorithms on arrays and vectors(mostly unit LGArrayHelpers):

• reverse, right/left cyclic shifts
• permutations
• binary search
• N-th order statistics
• distinct values selection
• quicksort
• introsort
• dual pivot quicksort
• mergesort
• timsort(unit LGMiscUtils)
• counting sort
• ...

Other:

• non-cryptogarphic hashes(unit LGHash):
  • Yann Collet's xxHash32, xxHash64
  • Austin Appleby's MurmurHash2, MurmurHash2A, MurmurHash3_x86_32, MurmurHash64A
• brief and dirty implementation of futures concept(unit LGAsync)
• brief channel implementation(unit LGAsync)
• brief implementation of thread pool(unit LGAsync)