—— 请按键盘 空白键 开始游戏 ——

关于问题的名人名言哲理格言警句语录 - 每日文摘
问题
In the pursuit of mathematical truth, we often find more questions than answers.
In mathematics, the art of proposing a question must be held of higher value than solving it.
We're flooding people with information. We need to feed it through a processor. A human must turn information into intelligence or knowledge. We've tended to forget that no computer will ever ask a new question.
We're flooding people with information. We need to feed it through a processor. A human must turn information into intelligence or knowledge. We've tended to forget that no computer will ever ask a new question.
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 power of abstraction is that it allows us to ignore irrelevant details and focus on the essential aspects of a problem.
The power of abstraction is crucial in computer science, allowing us to focus on the essential aspects of a problem.
The study of computational complexity is not just about solving problems, but also about understanding the limits of what can be computed.
The concept of NP-completeness has provided a powerful tool for understanding the complexity of problems.
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.
The beauty of theoretical computer science lies in its ability to abstract and generalize, turning specific problems into universal truths.
In the realm of algorithms, efficiency is not merely a measure of speed, but a profound statement about the nature of the problem itself.
Understanding a problem is half the solution.
To truly understand a problem, you must first simplify it to its core essence.
"Innovation in algorithms often comes from looking at old problems in new ways."
"Complexity theory teaches us that not all problems are created equal; some are inherently harder than others."