AlgoPlus v0.1.0
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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1234]
 NCatch
 NdetailDetail namespace with internal helper functions
 Nmatplotlibcpp
 Nnn
 Nstd
 Cadl_serializerNamespace for Niels Lohmann
 CApprox
 CAStar
 Cavl_treeClass for AVL tree
 Cbasic_jsonNamespace for Niels Lohmann
 Cbest_firstBest first class
 CbstClass for BST tree
 Cbyte_container_with_subtypeInternal type for a backed binary type
 CCatch_global_namespace_dummy
 Ccircular_linked_listCircular linked list class
 CDBSCANDBSCAN clustering algorithm class
 Cdequeue_listDequeue list class
 Cdoubly_linked_listDoubly linked list class
 CdsuDisjoint set class
 Cfenwick_treeFenwick tree class
 Cfrequency_listSelf-learning Frequency List that maintains a list of elements in descending order of their frequency
 CgraphClass for Unweighted Graph
 Chash_tableA simple implementation of a hash table
 Chill_climbingHill climbing class
 ChuffmanClass for huffman coding
 CImage
 Cinterval_treeInterval tree class
 Cjson_pointerJSON Pointer defines a string syntax for identifying a specific value within a JSON document
 Cjson_saxSAX interface
 Ckmeans
 Clinear_regressionClass for linear regression algorithm
 Clinked_listSingle linked list class
 Clogistic_regressionLogistic regression class The implementation follows this: https://www.stat.cmu.edu/~ryantibs/advmethods/notes/logreg.pdf
 CMat1dClass for 1-dimensional Matrix
 CMat2dClass for 2-dimensional Matrix
 Cmin_heapMin heap class
 CMLPMultilayer Perceptron class. Performs binary and categorical classification Uses nn::Linear as a sequential model, follows PyTorch's implementation. TODO: Addition of Conv1d layers
 Cordered_mapMinimal map-like container that preserves insertion order
 CperceptronSingle layer perceptron implementation using nn::Linear
 Cpolynomial_regression
 Cred_black_treeClass for red black tree
 CRMQCredits to @nealwu for his RMQ query RMQ struct for range query minimum
 CropeRope's(chord's) data structure class **************************WARNING***************************** This is a class under current development, this implementation doesn't comply with the implementations that you might've seen online. Please read the code carefully if you plan to use this class
 Cseg_treeSegment tree(iterative version)
 Csegment_treeSegment tree class Usefull for fast query sums and updates
 Csimple_multi_classification
 Cskip_listSkip_list class
 Csplay_treeSplay tree class
 Cstack_listStack_list class
 Cstring_hasherString hasher class
 Ctable
 CtreeTree class
 CtrieTrie class
 Cttf_tree234-tree class
 Cweighted_graphClass for weighted graph