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关于复杂的名人名言哲理格言警句语录 - 每日文摘
复杂
"Complexity theory teaches us that not all problems are created equal; some are inherently harder than others."
The discovery of quantum algorithms has fundamentally changed our understanding of computational complexity.
"The future of machine learning will depend on our ability to develop algorithms that can learn from complex, high-dimensional data."
"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."
There are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies.
The only way to deal with the complexity of the world is to simplify it.
The key to solving complex problems is often to find the right abstraction that simplifies the problem without losing its essential features.
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.
The development of computational complexity theory has shown us that not all problems are created equal.
The beauty of mathematics lies in its ability to reveal the underlying simplicity in what appears to be complex.
In computational complexity, we are not just dealing with the limits of what we can compute, but also with the limits of what we can prove.
The exploration of computational complexity is a journey into the unknown, where each discovery opens new doors.
The beauty of computational complexity lies in its ability to classify problems based on their inherent difficulty.
The concept of NP-completeness has provided a powerful tool for understanding the complexity of computational problems.
The beauty of computational theory lies in its ability to abstract the complexities of the world into manageable and understandable models.
The art of programming is the art of organizing complexity.
The key to solving complex problems is breaking them down into simpler ones.
"The beauty of computational complexity lies in its ability to classify problems based on their inherent difficulty."
"The beauty of algorithms lies not in their complexity, but in their ability to solve problems efficiently."
"The essence of mathematics is not to make simple things complicated, but to make complicated things simple."