MoreComplexDataStructures 1.4.0
See the version list below for details.
dotnet add package MoreComplexDataStructures --version 1.4.0
NuGet\Install-Package MoreComplexDataStructures -Version 1.4.0
<PackageReference Include="MoreComplexDataStructures" Version="1.4.0" />
paket add MoreComplexDataStructures --version 1.4.0
#r "nuget: MoreComplexDataStructures, 1.4.0"
// Install MoreComplexDataStructures as a Cake Addin #addin nuget:?package=MoreComplexDataStructures&version=1.4.0 // Install MoreComplexDataStructures as a Cake Tool #tool nuget:?package=MoreComplexDataStructures&version=1.4.0
MoreComplexDataStructures is a class library containing a collection of data structures (plus related utility classes) more complex than those found in the standard .NET framework.
The project currently contains the following data structures and utility classes...
WeightBalancedTree - An implementation of a weight-balanced tree. Although self-balancing is not yet implemented, the tree maintains counts of the nodes in each node's subtrees. This allows methods GetCountGreaterThan(T item) and GetCountLessThan(T item) (which return the number of items greater than and less than a specified item) to return with order O(log(n)) time complexity. The class also provides methods to perform pre, post, and in-order depth-first search, and breadth-first search.
MinHeap / MaxHeap - Tree-based implementations of a min and max heap. Insert() and ExtractMin() / ExtractMax() methods return with order O(log(n)) time complexity. Also provides methods to traverse the nodes of the underlying trees via a breadth-first search.
LongIntegerStatusStorer - Stores a true/false status for a complete set of long (Int64) integers. Uses an underlying tree holding ranges of integers to store the statuses. Also provides a method TraverseTree() to traverse the ranges stored in the tree via a breadth-first search.
ListRandomizer - Randomizes a List or Array using the Fisher/Yates/Knuth algorithm (O(n) time complexity).
WeightedRandomGenerator - Returns items randomly based on configured weightings. The underlying implementation uses a tree, so the Generate() method returns with order O(log(n)) time complexity (where n is the number of weightings defined).
Trie - An implementation of trie / prefix tree. Nodes of the trie maintain a count of the number of sequences in each subtree, hence the GetCountOfSequencesWithPrefix() method returns a list of sequences with the specified prefix with order O(n) time complexity (where n is the number of elements in the prefix sequence).
FrequencyTable - A simple (Dictionary-based) frequency table, which stores the frequency of occurrence of objects.
BinarySearchTreeBalancedInserter - Inserts a set of items into a binary search tree, ensuring that the tree is balanced, and depth is minimized.
Product | Versions Compatible and additional computed target framework versions. |
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.NET Framework | net45 is compatible. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
This package has no dependencies.
NuGet packages
This package is not used by any NuGet packages.
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on MoreComplexDataStructures:
Repository | Stars |
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BG-IT-Edu/School-Programming
Хранилище за свободно учебно съдържание по програмиране, информатика и ИТ за българските училища в помощ на ИТ учителите
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