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How I Study AI - Learn AI Papers & Lectures the Easy Way

Concepts532

Groups

๐Ÿ“Linear Algebra15๐Ÿ“ˆCalculus & Differentiation10๐ŸŽฏOptimization14๐ŸŽฒProbability Theory12๐Ÿ“ŠStatistics for ML9๐Ÿ“กInformation Theory10๐Ÿ”บConvex Optimization7๐Ÿ”ขNumerical Methods6๐Ÿ•ธGraph Theory for Deep Learning6๐Ÿ”ตTopology for ML5๐ŸŒDifferential Geometry6โˆžMeasure Theory & Functional Analysis6๐ŸŽฐRandom Matrix Theory5๐ŸŒŠFourier Analysis & Signal Processing9๐ŸŽฐSampling & Monte Carlo Methods10๐Ÿง Deep Learning Theory12๐Ÿ›ก๏ธRegularization Theory11๐Ÿ‘๏ธAttention & Transformer Theory10๐ŸŽจGenerative Model Theory11๐Ÿ”ฎRepresentation Learning10๐ŸŽฎReinforcement Learning Mathematics9๐Ÿ”„Variational Methods8๐Ÿ“‰Loss Functions & Objectives10โฑ๏ธSequence & Temporal Models8๐Ÿ’ŽGeometric Deep Learning8

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๐Ÿ”ทAllโˆ‘Mathโš™๏ธAlgo๐Ÿ—‚๏ธDS๐Ÿ“šTheory

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๐Ÿ—‚๏ธData StructureAdvanced

Link-Cut Tree

A Link-Cut Tree (LCT) maintains a dynamic forest and supports link, cut, and path queries in O(log n) amortized time.

#link-cut tree#dynamic tree#splay tree+12
๐Ÿ—‚๏ธ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
4041424344
#tree distance queries
#nearest red node
+12
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธData StructureAdvanced

Wavelet Tree

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

#wavelet tree#wavelet matrix#rank select+11
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธ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
๐Ÿ—‚๏ธData StructureIntermediate

Merge Sort Tree

A Merge Sort Tree is a segment tree where every node stores the sorted list of values in its segment.

#merge sort tree#segment tree#range query+12