解决
In mathematics, the art of proposing a question must be held of higher value than solving it.
The challenge in theoretical computer science is not just to solve problems, but to understand the nature of problem-solving itself.
In computer science, we often deal with problems that are easy to state but hard to solve.
The beauty of mathematics lies not only in its abstract elegance but also in its profound ability to model and solve real-world problems.
The pursuit of mathematical knowledge is a never-ending adventure, filled with challenges, surprises, and the satisfaction of solving the unsolvable.
The journey of solving a mathematical problem is as important as the solution itself, for it teaches us patience, persistence, and the joy of discovery.
Algorithms are not just for solving problems; they are also for understanding the world.
In mathematics, as in life, the most elegant solutions often arise from a deep understanding of the problem.
The development of quantum computing is a journey into the unknown, where each step forward reveals new mysteries to be solved.
In quantum computing, we are not just solving problems faster, we are solving problems that were previously thought to be unsolvable.
In mathematics, the art of proposing a question must be held of higher value than solving it.
"The challenge in theoretical computer science is not just to solve problems, but to understand why they are hard to solve."
"In the study of algorithms, we often find that the most efficient solutions are also the most elegant."
"The beauty of computational complexity lies in its ability to reveal the inherent difficulty of problems, regardless of the specific algorithms used to solve them."
Any problem in computer science can be solved with another layer of indirection.
The study of algorithms is the study of methods for solving problems on a computer.
The beauty of theoretical computer science lies in its ability to abstract and solve problems that seem insurmountable.
The key to solving complex problems is to ask the right causal questions.
A method of solution is perfect if we can foresee from the start, and even prove, that following that method we shall attain our aim.
The challenge in computer science is not just to solve problems, but to find the right problems to solve.