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Suppose f of x, y, z equals k1, that is my equation, s1 and it gives me a solution s1.
假设我的方程是这样，然后给出了一个解。
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For example, F x y z if I have an equation that looks like this, f of x, y, z.
打个比方，我有个这样的方程。
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f=0 I would write f of x is in big Oh of n squared.
我写下了。
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This equation is telling you if you compress it, namely if x is negative, F will be then positive, because it's pushing you outwards.
这个方程告诉我们,如果压缩弹簧,即令 x 为负,F 就为正,因为推力的方向向外
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which is f , divided by the value of the x-axis here.
斜率，而f是p趋于0时pV的极限。
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F is the continuous probability distribution for x.
是x的连续型随机变量的概率分布
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The power of linearity is F=k1+k2 if I come across f of x, y, z equals k1 plus k2, if it is a linear equation, I don't have to go and solve it all over again.
线性的威力是,一个方程，如果它是个线性方程，那么我就不用再去解他了。
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x y z And I have another equation f of x, y, z.
若我有另一个方程。
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We did the comparison with the elephant or something; a is the second derivative of x and for this problem, when F is due to a spring, we know the force is that by studying the spring.
我们也已经把它与大象或其它东西作过比较,a 是 x 的二阶导数,在这个问题中,F 是由弹簧产生的,我们在讨论弹簧问题时已经知道了力的大小
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See, I've defined f of x to be a function x=x+1 that takes a value of x in, changes x to x+1, x and then just returns the value.
我定义了f是一个函数,输入x，让，然后输出。
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It says that function, f of x, is bounded above here's an upper limit on it, that this grows no faster than quadratic in n, n squared.
这意味着这个方法f是有上限的,这个方法增长的速度,不会比括号内的n*n快。
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