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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
The quest for efficient algorithms is not just a technical challenge; it is a journey into the heart of complexity.
The essence of mathematics is not to make simple things complicated, but to make complicated things simple.
Understanding the computational complexity of learning problems is essential for developing efficient algorithms.
The complexity of a learning problem is often determined by the size and structure of the hypothesis space.
"The study of computational complexity teaches us that some problems are inherently difficult, no matter how clever our algorithms are."
"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."
Abstraction is the key to managing complexity in software systems.
Modularity is essential for building large systems, as it allows us to break down complex problems into smaller, more manageable parts.
The goal of software engineering is to control complexity, not to create it.
In computer science, abstraction is the key to managing complexity.
The computing scientist's main challenge is not to get confused by the complexities of his own making.
The art of programming is the art of organizing complexity, of mastering multitude and avoiding its bastard chaos as effectively as possible.
The challenge in computer graphics is to simulate the complexity of the real world with the simplicity of mathematical models.
The brain is a complex system, and we are just beginning to understand how it works.
The art of programming is the art of organizing complexity, of mastering multitude and avoiding its bastard chaos as effectively as possible.
The art of simplicity is a puzzle of complexity.
A key insight in learning theory is that the complexity of a hypothesis class is crucial for generalization.
The beauty of mathematics is that it allows us to abstract away the complexities of the real world and focus on the underlying principles.
The intersection of cryptography and complexity theory is where some of the most fascinating problems in computer science reside.
The key to solving complex problems is to ask the right causal questions.