馬達(dá)夫·瓦拉丹
糾錯(cuò)碼與概率檢驗(yàn)貢獻(xiàn)者
The pursuit of knowledge in computer science is a never-ending journey, where each discovery opens the door to new questions.
在計(jì)算機(jī)科學(xué)中追求知識(shí)是一段永無止境的旅程，每一次發(fā)現(xiàn)都為新的問題打開了大門。
The beauty of theoretical computer science lies in its ability to connect abstract mathematical concepts with practical computational problems.
理論計(jì)算機(jī)科學(xué)的美在于它能夠?qū)⒊橄蟮臄?shù)學(xué)概念與實(shí)際的計(jì)算問題聯(lián)系起來。
The study of computational complexity is not just about classifying problems; it is about understanding the nature of computation itself.
計(jì)算復(fù)雜性的研究不僅僅是關(guān)于問題的分類；它是關(guān)于理解計(jì)算本身的本質(zhì)。
The power of abstraction allows us to see the common threads that run through seemingly disparate problems.
抽象的力量使我們能夠看到貫穿看似不同問題的共同線索。
In mathematics, as in life, the most elegant solutions often arise from a deep understanding of the problem.
在數(shù)學(xué)中，就像在生活中一樣，最優(yōu)雅的解決方案往往來自于對(duì)問題的深刻理解。
The quest for efficient algorithms is not just a technical challenge; it is a journey into the heart of complexity.
尋找高效算法不僅僅是一個(gè)技術(shù)挑戰(zhàn)；它是一次深入復(fù)雜性核心的旅程。
Understanding the limits of computation is as important as expanding its capabilities.
理解計(jì)算的極限與擴(kuò)展其能力同樣重要。
The interplay between randomness and structure is a central theme in both mathematics and computer science.
隨機(jī)性和結(jié)構(gòu)之間的相互作用是數(shù)學(xué)和計(jì)算機(jī)科學(xué)中的一個(gè)核心主題。
In the realm of theoretical computer science, we often find that the most profound insights come from the simplest ideas.
在理論計(jì)算機(jī)科學(xué)的領(lǐng)域里，我們常常發(fā)現(xiàn)最深刻的見解來自于最簡單的想法。
The beauty of mathematics lies not only in its ability to describe the world but also in its power to reveal the hidden structures that govern it.
數(shù)學(xué)之美不僅在于它描述世界的能力，還在于它揭示支配世界的隱藏結(jié)構(gòu)的力量。