Understanding Computational Complexity | ISC Class 12 Computer Science with Ramji Sir

Computational Complexity | ISC Class 12 Computer Science by Java Matlab Ramji Sir
Computational complexity is a measure of the amount of computing resources an algorithm consumes when it runs. It is usually defined as a function of the size of the input data set.
In computer science, computational complexity is the amount of resources required to run an algorithm. It focuses on computation time and memory storage requirements.
Computational complexity theory studies the complexity of algorithms and problems. It aims to identify the computational resources required to solve a problem, such as time, space, or communication. It also aims to determine the limitations and possibilities of algorithmic efficiency.
Computational complexity theory distinguishes between problems that have efficient algorithms (the “easy” problems) and those that are inherently intractable (the “hard” problems).
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