萊昂尼德·萊文
計(jì)算復(fù)雜性理論的貢獻(xiàn)
The challenge in computer science is not just to solve problems, but to understand why they are problems in the first place.
計(jì)算機(jī)科學(xué)中的挑戰(zhàn)不僅僅是解決問題，而是理解為什么它們首先是問題。
Every algorithm tells a story, not just of its own steps, but of the problem it seeks to solve.
每個(gè)算法都講述一個(gè)故事，不僅僅是它自己的步驟，還包括它試圖解決的問題。
The beauty of theoretical computer science lies in its ability to abstract and generalize, turning specific problems into universal truths.
理論計(jì)算機(jī)科學(xué)的美在于其抽象和概括的能力，將具體問題轉(zhuǎn)化為普遍真理。
In the realm of algorithms, efficiency is not merely a measure of speed, but a profound statement about the nature of the problem itself.
在算法的領(lǐng)域，效率不僅僅是速度的衡量，更是對(duì)問題本質(zhì)的深刻陳述。
The concept of computational complexity is not just about how fast we can compute, but also about understanding the limits of what can be computed.
計(jì)算復(fù)雜性的概念不僅僅是我們能計(jì)算多快，還包括理解什么是可以計(jì)算的極限。
The art of algorithm design is not just in solving problems, but in discovering new ways to think about them.
算法設(shè)計(jì)的藝術(shù)不僅在于解決問題，更在于發(fā)現(xiàn)思考問題的新方式。
In the quest for computational solutions, we often find that the journey is as important as the destination.
在尋求計(jì)算解決方案的過程中，我們常常發(fā)現(xiàn)旅程與目的地同樣重要。
The true power of an algorithm is not in its speed or efficiency, but in its ability to reveal the hidden structures of the problems it addresses.
算法的真正力量不在于它的速度或效率，而在于它揭示所解決問題隱藏結(jié)構(gòu)的能力。
The challenge of computer science is not just to build faster machines, but to understand the very fabric of computational possibility.
計(jì)算機(jī)科學(xué)的挑戰(zhàn)不僅在于構(gòu)建更快的機(jī)器，更在于理解計(jì)算可能性的基本結(jié)構(gòu)。
In the dance of computation, every step, every decision, is a reflection of the underlying principles that govern the digital universe.
在計(jì)算的舞蹈中，每一步、每一個(gè)決定都是支配數(shù)字宇宙的基本原則的反映。