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关于解决的名人名言哲理格言警句语录 - 每日文摘
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In mathematics, the art of proposing a question must be held of higher value than solving it.
The true challenge in mathematics is not solving problems, but asking the right questions.
In mathematics, the art of proposing a question must be held of higher value than solving it.
To solve a problem, you have to be willing to think differently.
Leadership is solving problems. The day soldiers stop bringing you their problems is the day you have stopped leading them.
It's not just about writing code; it's about solving problems.
The study of computational complexity is not just about solving problems, but also about understanding the limits of what can be computed.
A problem is in P if it can be solved quickly by a computer, and in NP if a solution can be verified quickly.
The challenge in computer science is not just to solve problems, but to understand why they are problems in the first place.
Every algorithm tells a story, not just of its own steps, but of the problem it seeks to solve.
In the world of algorithms, the simplest solution is often the best.
Understanding a problem is half the solution.
"The beauty of mathematics in computer science lies in its ability to model and solve real-world problems with abstract concepts."
"Theoretical computer science is not just about solving problems, but about understanding the nature of computation itself."
Quantum computing is not just about speed; it's about solving problems that are intractable for classical computers.
Shor's algorithm demonstrates that quantum computers can solve certain problems exponentially faster than classical computers.
The challenge in computer science is not just to solve problems, but to solve them in a way that is both efficient and elegant.
The key to solving complex problems is often to find the right abstraction that simplifies the problem without losing its essential features.
The power of randomness in algorithms is that it can help us find solutions that are difficult to discover through deterministic methods.
In computer science, we often deal with problems that are too complex to solve directly, so we break them down into smaller, more manageable parts.