Concepts25

πŸ—‚οΈData StructureAdvanced

Centroid Decomposition - Distance Queries

Centroid decomposition splits a tree into levels by repeatedly removing a centroid so that each remaining component is at most half the size.

#centroid decomposition#tree distance queries#nearest red node+12
πŸ—‚οΈData StructureAdvanced

Centroid Decomposition

Centroid decomposition splits a tree around a special node (centroid) so that every remaining component has at most half the nodes.

#centroid decomposition#centroid tree#tree algorithms+11
πŸ—‚οΈData StructureAdvanced

HLD - Path Queries and Updates

Heavy-Light Decomposition (HLD) breaks a tree into a small number of vertical chains so any path (u,v) becomes O(log n) contiguous segments in an array.

#heavy light decomposition#hld#path query+12
πŸ—‚οΈData StructureAdvanced

Wavelet Tree

A wavelet tree is a recursive data structure built over a sequence’s alphabet that answers rank, select, and quantile (k-th smallest) queries in O(log Οƒ) time, where Οƒ is the number of distinct values.

#wavelet tree#wavelet matrix#rank select+11
πŸ—‚οΈData StructureAdvanced

Heavy-Light Decomposition

Heavy-Light Decomposition (HLD) breaks a tree into O(n) disjoint chains so that any root-to-node path crosses only O(log n) chains.

#heavy light decomposition#hld c++#segment tree on tree+10
πŸ—‚οΈData StructureAdvanced

Persistent Array and Treap

Persistence lets you keep every past version of a data structure while making O(log n) updates and queries on any version.

#persistent array#persistent segment tree#treap+12
πŸ—‚οΈData StructureAdvanced

Splay Tree

A splay tree is a self-adjusting binary search tree that moves the most recently accessed node to the root with rotations.

#splay tree#self-adjusting bst#zig+12
πŸ—‚οΈData StructureAdvanced

Implicit Treap

An implicit treap is a randomized balanced binary tree that treats array positions as keys without storing them explicitly.

#implicit treap#treap#split and merge+11
πŸ—‚οΈData StructureAdvanced

Persistent Segment Tree

A persistent segment tree stores every historical version of an array-like data while supporting queries and updates in O(log n) time.

#persistent segment tree#path copying#kth smallest+12
πŸ—‚οΈData StructureAdvanced

Treap

A treap is a binary search tree on keys combined with a heap on random priorities, which keeps the tree balanced in expectation.

#treap#randomized bst#fhq treap+12
πŸ—‚οΈData StructureAdvanced

Segment Tree Beats

Segment Tree Beats is a segment tree variant that supports range chmin/chmax (clamping) together with queries like range sum, min, and max in amortized logarithmic time.

#segment tree beats#range chmin#range chmax+12
πŸ—‚οΈData StructureAdvanced

Segment Tree - Handling Multiple Lazy Operations

When a segment tree supports multiple range updates, you must define how lazy tags compose, because the order of operations matters and composition is not commutative.

#segment tree#lazy propagation#range add+12