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Concepts6

Category

🔷All∑Math⚙️Algo🗂️DS📚Theory

Level

AllBeginnerIntermediateAdvanced
Filtering by:
#randomized algorithms
⚙️AlgorithmIntermediate

XOR Hashing (Zobrist Hashing)

XOR (Zobrist) hashing assigns a random 64-bit number to each possible element and hashes a set by XORing the numbers of present elements.

#xor hashing#zobrist hashing#incremental hashing+11
📚TheoryIntermediate

Online Algorithm Theory

Online algorithms make decisions step by step without seeing the future and are judged against an all-knowing offline optimum.

#online algorithms#competitive analysis#ski rental+12
📚TheoryIntermediate

Randomized Algorithm Theory

Randomized algorithms use random bits to make choices that simplify design, avoid worst cases, and often speed up computation.

#randomized algorithms#las vegas#monte carlo+12
∑MathIntermediate

Variance and Covariance

Variance measures how spread out a random variable is around its mean, while covariance measures how two variables move together.

#variance#covariance#standard deviation+12
∑MathIntermediate

Expected Value

Expected value is the long-run average outcome of a random variable if you could repeat the experiment many times.

#expected value#linearity of expectation#indicator variables+12
⚙️AlgorithmIntermediate

Randomized Algorithms

Randomized algorithms use coin flips (random bits) to guide choices, often making code simpler and fast on average.

#randomized algorithms#las vegas#monte carlo+12