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What is Asymptotic Notation? Whenever we want to perform an analysis of an algorithm, we need to calculate the complexity of that algorithm. But when we calculate the complexity of an algorithm it provides a different amount of resource required. So instead of taking the exact amount of resources, we represent that complexity in a
What is Big-Omege Notation (Ω)? Big-Omega notation defines the lower bound of an algorithm in terms of Time Complexity.That means Big-Omega notation always indicates the minimum time an algorithm requires for all input values. That means Big-Omega notation describes the best case of an algorithm time complexity.Big-Omega Notation can be defined as follows… Consider function f(n) as
The efficiency of an algorithm depends on two parameters: Time Complexity: Time Complexity is defined as the number of times a particular instruction set is executed rather than the total time taken. It is because the total time taken also depends on some external factors like the compiler used, the processor’s speed, etc. Space Complexity: Space Complexity
Why do we rarely make models? In your imagination, what an algorithm engineer might do is to read the paper today, implement the paper tomorrow, and use it the day after tomorrow. Then the company’s income will increase, and our salary and level will also increase. But in fact, most of the engineers in the
