理论
                
        
    
"Theoretical computer science is a field where deep mathematical insights lead to practical computational tools."
                    "The challenge in theoretical computer science is not just to solve problems, but to understand why they are hard to solve."
                    "Theoretical computer science is not just about algorithms and data structures; it's about understanding the fundamental limits of computation."
                    The study of formal languages and automata is essential for understanding the theoretical underpinnings of computer science.
                    The theory of computation provides a foundation for understanding what can and cannot be computed.
                    A key insight in learning theory is that the complexity of a hypothesis class is crucial for generalization.
                    The challenge in computational learning theory is to understand the capabilities and limitations of learning algorithms.
                    The intersection of cryptography and complexity theory is where some of the most fascinating problems in computer science reside.
                    The beauty of theoretical computer science lies in its ability to abstract and solve problems that seem insurmountable.
                    The key to success in computer science is not just about writing code, but understanding the underlying principles and theories that make it work.
                    The difference between theory and practice is that in theory, there is no difference between theory and practice, but in practice, there is.
                    I never guess. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.
                    It is a capital mistake to theorize before one has data.
                    The beauty of physics lies in its ability to explain the simplest phenomena with the most profound theories.
                    Your theory is crazy, but it's not crazy enough to be true.
                    We must always question our assumptions and be willing to revise our theories in light of new evidence.
                    "We are all agreed that your theory is crazy. The question which divides us is whether it is crazy enough to have a chance of being correct."
                    The fundamental 'formula' of Gestalt theory might be expressed in this way: There are wholes, the behavior of which is not determined by that of their individual elements, but where the part-processes are themselves determined by the intrinsic nature of the whole.
                    The theory of economic development is the study of how the economic system generates the forces which incessantly transform it.