想象这些时间的的门票一天天在缩水,提醒自己关注时间都被自己花在了哪。
Making the ticket analogy helps. Imagining a stack of tickets shrink day after day reminds me to be careful in how I spend my time.
不过现如今的许多计算机科学研究更加关注时间效率,特别是NP完全问题中的理论时间边界(比如旅行商人问题,这是完全NP中一个重要的问题,译者注)。
Most of the research in Computer Science these days is devoted to time efficiency, particularly the theoretical time barrier of NP-Complete problems (like the Traveling Salesman problem).
为了达到这个目的,需要用户花费时间关注它们、阅读它们。
To achieve this, they demand that a user take the time to focus on them and read them.
But if it watches you over some amount of time just like it's been for years with advertisements, can this kind of algorithm, this kind of process presumably improve?
但是如果它像关注广告一样,花费一些时间关注你,这些算法和进程,想必会提升吧?
At the end of the day, the goal is to make something that's of interest to you, fun for you, cs50 net/ohs and you'll see at cs50.net/ohs for office hours, what the schedule is therefore.
目的是让大家做一些,有意思的事,一些有趣的事,请关注,该网站上有我们的工作时间以及安排。
But if you look at the tech fund category, the difference between the dollar-weighted and the time-weighted returns--this is over a ten-year period -is 13.4% per annum; that's stunning.
但是如果你关注科技投资基金,十年间,货币加权回报率,和时间加权回报率间的差距,是每年13.4%,这是非常夸张的
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