Tag: algorithm analysis
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Big Thetha
Big Θ (Theta) notation is a mathematical concept used to describe the tight bound of an algorithm’s performance. Unlike Big O, which focuses on the worst-case scenario, or Big Ω, which captures the best-case scenario, Big Θ provides a precise measure of the algorithm’s growth rate by considering both upper and lower bounds. It essentially…
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Big Omega
Big Ω (Omega) notation is a mathematical concept used to describe the best-case performance of an algorithm. It provides a lower bound on the running time or space required by an algorithm as a function of the input size . In simpler terms, Big Ω defines the minimum time an algorithm will take, regardless of…
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Big o notation
Big O Notation is a mathematical concept widely used in computer science to describe the efficiency and scalability of algorithms. It provides a framework to evaluate how the runtime or space requirements of an algorithm grow relative to the size of the input data. By abstracting away hardware and implementation specifics, Big O focuses on…