Computers solve a variety of problems by processing data quickly and accurately, automating tasks, improving communication, storing and organizing information, and enabling complex calculations and simulations.
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Computers can solve several problems, such as cracking codes, performing bigand complex calculations and simulate weather.
Quantum computing is more effective than classical computers in solving complex problems that involve large amounts of data and require processing multiple possibilities simultaneously.
No, the keyword "p" is not contained in the set of problems that can be solved in polynomial time, known as NP.
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In computational complexity theory, polynomial time is significant because it represents the class of problems that can be solved efficiently by algorithms. Problems that can be solved in polynomial time are considered tractable, meaning they can be solved in a reasonable amount of time as the input size grows. This is important for understanding the efficiency and feasibility of solving various computational problems.