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Big O Notation
Overview
Big O Notation
algorithms
asymptotic analysis
complexity analysis
software engineering
python
data structures
c++
java
computer science
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Space Complexity →
Space complexity is expressed using Big O notation to state how an algorithm's memory usage scales with input size; it depends on Big O to formalize asymptotic space bounds and compare algorithms while ignoring constant factors.
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Time Complexity →
Time complexity is expressed and compared using Big O; the notation provides asymptotic bounds that formalize how running time grows, making standardized analysis possible.
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O(1) →
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O(N^2) Quadratic Time →
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O(N) Linear Time →
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O(Log N) →