Time Complexity Of A Computer Program

Understanding the Efficiency of Your Code

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A measure of the efficiency of an algorithm or computer program. It quantifies the amount of time required to run a program as a function of the size of its input.

What is Time complexity?

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A way to express time complexity mathematically. It helps in understanding the growth rate of the program's time complexity as the input size increases.

Big O Notation

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The time complexity of a program determines how efficient and scalable it is. It helps in identifying performance issues and optimizing the program for better results.

Why does it matter?

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1. Identifying Bottlenecks  By analyzing the time complexity of different parts of a program, we can identify bottlenecks and optimize those areas for better performance.

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2. Resource Utilization  Time complexity also affects resource utilization. A program with high time complexity consumes more resources such as CPU, memory, and disk space.

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3. Scaling Up With increase in program’s input size, time complexity grow exponentially. Optimizing time complexity makes a program scalable without sacrificing performance.

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4. Real-world Impact  Time complexity of a program can affect people's lives in industries like finance & transportation. An efficient algorithm leads to faster &  more accurate results.

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