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

Concepts172

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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AllBeginnerIntermediate
โš™๏ธAlgorithmAdvanced

Minimum Cost Maximum Flow

Minimum Cost Maximum Flow (MCMF) finds the maximum possible flow from a source to a sink while minimizing the total cost paid per unit of flow along edges.

#minimum cost maximum flow#successive shortest augmenting path#reduced cost+11
โš™๏ธAlgorithmAdvanced

Biconnected Components

A biconnected component (block) is a maximal subgraph where removing any single vertex keeps it connected.

#biconnected components
1112131415
Advanced
#blocks
#articulation points
+12
โš™๏ธAlgorithmAdvanced

Virtual Tree (Auxiliary Tree)

A Virtual Tree (Auxiliary Tree) compresses a large tree into a much smaller tree that contains only the k important nodes and the LCAs needed to keep them connected.

#virtual tree#auxiliary tree#lca+12
โš™๏ธAlgorithmAdvanced

Johnson's Algorithm

Johnson's Algorithm computes all-pairs shortest paths on sparse graphs by first removing negative edges via reweighting, then running Dijkstra from every vertex.

#johnson's algorithm#all pairs shortest paths#apsp+12
๐Ÿ—‚๏ธData StructureAdvanced

Kinetic Tournament Tree

A kinetic tournament tree maintains the minimum (or maximum) of moving values whose pairwise order can change over time.

#kinetic data structure#tournament tree#certificate+12
๐Ÿ—‚๏ธData StructureAdvanced

Aho-Corasick - DP Applications

Ahoโ€“Corasick (AC) turns a set of forbidden patterns into a finite automaton that lets you process or generate strings while tracking whether any pattern appears.

#aho-corasick#automaton dp#forbidden substrings+12
๐Ÿ—‚๏ธData StructureAdvanced

Li Chao Tree

A Li Chao tree maintains a set of lines y = m x + b and answers minimum (or maximum) value queries at a given x in O(log C) time, where C is the numeric range of x.

#li chao tree#dynamic convex hull#segment tree lines+12
๐Ÿ—‚๏ธData StructureAdvanced

Palindromic Tree (Eertree)

A Palindromic Tree (Eertree) stores every distinct palindromic substring of a string as a node and can be built online in linear time.

#palindromic tree#eertree#palindromic substrings+12
๐Ÿ—‚๏ธData StructureAdvanced

Suffix Automaton - Advanced Usage

A suffix automaton (SAM) is a compact DFA that captures all distinct substrings of a string and supports many advanced queries in linear time.

#suffix automaton#endpos#suffix link+12
๐Ÿ—‚๏ธData StructureAdvanced

Suffix Automaton

A suffix automaton (SAM) is the minimal deterministic finite automaton that recognizes all substrings of a string, built online in O(n) time and space.

#suffix automaton#endpos equivalence#suffix link+12
๐Ÿ—‚๏ธData StructureAdvanced

Aho-Corasick Automaton

Ahoโ€“Corasick is a trie with failure links that finds all occurrences of many patterns in a single pass over the text.

#aho-corasick#multi-pattern matching#trie+12
๐Ÿ—‚๏ธData StructureAdvanced

Suffix Array - LCP Array Applications

The LCP (Longest Common Prefix) array, built alongside a suffix array, unlocks fast solutions to problems like longest repeated substring, number of distinct substrings, and longest common substring.

#suffix array#lcp array#kasai algorithm+12