So first, I choose a volatility randomly, from some distribution of possible volatilities 2 from to, in this case, 0.2.
来决定的一个值,所以首先我先随机选择一个浮动值,从可能的浮动值中的分布进行选择,在这个例子中就是0。
Cloning? Well, I hate to land on one side of the debate or the other
克隆?我不希望在这种争论中选择某一个立场,
And this is in contrast to Selection Sort where you're fishing again and again for the then smallest element.
这与选择排序是相反的,在选择排序中你需要一次又一次地,找出最小的元素。
How do we know that everyone choosing 1 is the Nash Equilibrium in the game where you all chose numbers?
我们怎么知道在那个数字游戏中,选择1就是这个博弈的均衡呢
But as we've already seen in Genesis, God chooses whom he chooses, and his reasons aren't always fathomed.
但就像我们在《创世纪》中看到的,上帝选择他的选民,他的理由常常不清楚。
It's as if Milton were paralyzed, almost, at this moment in his choice between these various alternatives.
弥尔顿似乎被麻痹了,在他在几个可行性中作出选择的时候。
How many swaps do I do in general in bubble sort, compared to selection source?
在冒泡排序中,一般要做多少次交换,对比选择排序呢?
So, we can also get into a case where we have similar values in terms of absolute values of formal charge between two different molecules we're deciding between in their Lewis structures.
我们还可能遇到另外一种情况,那就是在我们需要进行,选择的两种路易斯结构中,形式电荷具有相似的绝对值。
I think that you don't really have self possession if you choose to live in a society because you cannot just discount the people around you.
我认为如果你选择生活在社会中,就不可能完全地自我拥有,因为你不能无视其他人的存在。
Then they saw this word "choose", they can choose one of these options.
受试者在看到“选择“之后,会在三个选项中选出一个。
Then you can choose one of those for the specific food.
之后你可以在这些特定的食物中选择
I was deciding between political science at the time and computer science because I have always been fascinated by cities and at some point want to maybe potentially go into government I'm still not quite sure if I have more effect there or more effect in programming.
我那时要在政治学和,计算机科学,中做出选择,因为,我一直为城市着迷,我潜意识里有些想去政府工作,我并不确定我以后在,政治上更有成就还是在编程上更有成就。
The condition of our whole existence is but to struggle with evil, to compare them, to choose between them, evils that is, and so far as we can to mitigate them.
我们整个生活状况,就是在与邪恶相斗争中,不断地比较和选择,然后决定什么是邪恶,这样我们才能消除邪恶
The percent who think it's the best investment is higher in Los Angeles than in Milwaukee, and since the peak of the bubble in 2003, it's been declining in Los Angeles but, surprisingly, rising in Milwaukee.
认为房地产是最佳投资选择的人群,在洛杉矶居民中所占比例远高于密尔沃基,自从2003年房产泡沫达到最高峰,洛杉矶房价就一直在下跌,令人惊异的是密尔沃基房价仍在上涨
So it's probably not as final line as you might think, at least in my experience and in what I think is the best in government is make your policy choices first and then work out the politics.
所以可能并没有,你说的底线至少在我的经历中没有,我认为对政府最有益的是,先选择好政策,然后再谈政治。
How many of you are here because you are also potentially interested in applying the science of positive psychology in your future career decisions, in your job eventually? Ok.
有多少人选择这门课,是因为有兴趣在未来事业中,应用积极心理学,在工作中?,好的。
Plato seems to believe that each of us must choose somehow, must choose between one or the other of these two contenders for the most serious and worthwhile way of life.
柏拉图似乎相信,我们每个人都应选择,必需在这两种竞争概念中,做出选择,以求得严谨及值得过的人生。
- And it's worth--; it's sort of a useful test for asking yourself -- what are the things you must value in life-- to ask, what would you choose to do if you knew you had five years, ten years, ? what have you?
而这值得;,这算是一种很有用的测试,用来问自己什么是你在生命中必须珍惜的事-,问你会怎么选择,如果你知道自己还有5年,10年,之类的时间?
The voters, or candidates, whatever you want to call them, depending on where they stand, in this game they're going to be you.
选民或候选人,随便你们想怎么叫,基于他们的选择,在这个博弈中他们是你们
And suppose now this game came along in your line of work and you'd chosen up.
假设你在工作中遇到了这个博弈,你选择了上
Well, a cross-sectional study would mean that you'd get a random group of the population and measure them in 1970 and then take another random group five years later and measure them, but it wouldn't be the same people necessarily, it would be different groups of people.
那么,横断面研究就是,1970年你在人群中随意选择一组人,并记录下相关数据,然后,五年后再随意选择一组人记录数据,但这不需要是同一组人,通常是不同的人
And this was just a formal way of describing the best case running time and in the case of Selection Sort, what was the best case running time?
这是描述最好情况下运行时间的,一种正式的方式,在选择排序中,最理想的运行时间是多少呢?
Now, it turns out that this game, this Prisoner's Dilemma, with the Alpha's and Beta's, or essentially the same game, has been played many, many, many times in experiments.
实际上,囚徒困境这个博弈,比如选择α和β,或者类似的博弈,在现实中进行过很多次实验
I thought similar to Chris actually and I also thought that if we got two-thirds and everyone was choosing numbers in between 1 and 100 ends up with 33, would be around the number.
实际上我的想法和克里斯的相近,我也在想我们得选平均数的2/3,每个人都在1到100中选择的话,最后结果可能是33,会接近于平均数的2/3
Well, I guess in the first case where you have the one worker and the five, it's a choice between those two and you have to make a certain choice and people are going to die because of the trolley car, not necessarily because of your direct actions.
我认为,在第一种情况中是撞死一个还是五个,你只能在这两者中选择,不管你做出的是哪一个选择,总得有人被电车撞死,而他们的死,并非你的直接行为导致。
So we know that all the numbers between 45 and 30, these strategies were not dominated.
所以可知选择30至45之间的数,这样的策略在原博弈中并不是劣势的
N But it's definitely not one and in fact it wasn't N in the case of Selection Sort because remember the algorithm we implemented on stage last week had me going back and forth across the stage selecting on iteration, the smallest person I can find, the smallest number and then putting them into place.
但在选择排序中,肯定不会是1,也不是,注意,上周我们在这儿,实现的算法中,反复地,迭代进行选择,选出最小的数,然后将其放在合适的位置。
The first moral principle that emerged in the discussion said the right thing to do, the moral thing to do depends on the consequences that will result from your action.
在讨论中出现的第一条道德原则,正确的选择,道德的选择,取决于你的行为所导致的后果。
So it's quite difficult in the real world for candidates to position themselves.
所以在现实生活中候选人,选择位置是很难的
I was just finding very tunnel vision-like, the smallest elements at that moment in time which means I don't know anything about the other elements other than they are not the smallest and so no matter what with Selection Sort I had to repeat this again and again and again and if you do out the math it's roughly N squared steps in the worst case as well.
我只有一个狭窄的视野,只知道某时刻的最小元素,就意味着我并不知道其他元素的任何情况,只知道它们不是最小的,所以不管怎样,在选择排序中,我就得一遍一遍地重复选择过程,在最坏情况下,大概需要N的平方次比较。
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