理论
A mathematician is a person who can find analogies between theorems; a better mathematician is one who can see analogies between proofs and the best mathematician can notice analogies between theories.
Science is not about control. It is about cultivating a perpetual condition of wonder in the face of something that forever grows one step richer and deeper than our latest theory about it.
Science is not about control. It is about cultivating a perpetual condition of wonder in the face of something that forever grows one step richer and deeper than our latest theory about it.
Mathematics is not just a collection of abstract theories, but a language that describes the universe.
In theory, there is no difference between theory and practice. But, in practice, there is.
The theory of computation is deeply connected to the philosophy of mind and the nature of intelligence.
The beauty of theoretical computer science lies in its ability to abstract and generalize, turning specific problems into universal truths.
In the end, the value of a theory is not in its complexity, but in its ability to explain and predict.
"The interplay between theory and practice in computer science is what drives the field forward."
"Theoretical insights can lead to practical breakthroughs, bridging the gap between abstract ideas and real-world applications."
"Complexity theory teaches us that not all problems are created equal; some are inherently harder than others."
"Theoretical computer science is not just about solving problems, but about understanding the nature of computation itself."
"A key insight in computational learning theory is that the complexity of a learning problem is determined by the complexity of the hypothesis space and the amount of data available."
"Computational learning theory provides a mathematical framework for understanding the capabilities and limitations of machine learning algorithms."
The development of efficient algorithms is not just a theoretical exercise; it has practical implications for the way we live and work.
The interplay between theory and practice in computer science is what drives innovation and progress.
The development of computational complexity theory has shown us that not all problems are created equal.
The importance of theoretical computer science lies in its ability to provide a foundation for practical applications.
The theory of computation is not just about solving problems, but also about understanding the limits of what can be computed.
The beauty of computational theory lies in its ability to abstract the complexities of the world into manageable and understandable models.