Asymptotic Notation Solved Examples | Part-1 | Big O | Big Ω | Big Θ | GATECSE | DAA

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This video explores Big O notation, a fundamental tool for computer scientists and software engineers to analyze algorithm costs. Big O notation is used to measure the growth of a program's running time or space requirements as input size increases. It is a mathematical way to measure time complexity, considering only the fastest growing term and discarding other terms and constants. It is also used to measure space complexity. The video provides examples of how to find the Big O runtime of various algorithms and helps users evaluate and discuss the performance of different solutions to the same problem.

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[sanjayrai]

Excellent, I tried to understand Asymptotic notation many times from many sources but unabled to understand completely, but finally I completely understood this concept and able to solve all the gate questions smoothly and this becomes possible because of your explanation and teaching style, really your teaching style is great 👍❤

[vaibhavdixit]

Best explanation ever by Best teacher 👏 👌 👍