Translation of "乗算係数" to English language:


  Dictionary Japanese-English

乗算係数 - 翻訳 :

  Examples (External sources, not reviewed)

2つの項の係数の乗算が 最初と最後の係数の乗算と 等しくなるように
And when you factor by grouping, you're going to split up this term, this 15x.
グループの2つの係数が 乗算すると2X20と同じで
You want to group it, one of them with this 2x squared and one of it with the 20.
普通の算数のように乗算と除算が
Precedence and Associativity,
分数を乗算するには
And so you multiply all the numerators
それらの乗算の2倍が 中間の項の係数です これは完全な2乗です
If you take each of those numbers that you're squaring, take their product and multiply it by 2, you have that right there.
クラスタ係数を算出するコードです ノードvに関してクラスタ係数を算出するには
So just to remind you, here's some code for computing the clustering coefficient of a graph with respect to a particular node v.
二階の導関数の係数 r の2 乗
I think you see what I did.
x の 2 乗の項の係数を
looks like a squared.
乗算します 負数で 方程式の両側を乗算すると
Now if we multiply both sides by x plus 2, x plus 2 is a negative number.
複素数を他の数で乗算すると
That's interesting.
複素数を乗算する場合
That equals a squared minus b squared.
分数を乗算するときは
We have an x plus 3 there.
指数を乗算し 2 21です
If I have 2 to the seventh to the third power, well, here I multiplied the exponents.
x の 2乗の項の係数です
So in this example what's A?
二乗和の平均をNで割ると分散 相関係数を計算するには
Remember the notation, the sum of squares and mean squares.
負数と負数の乗算は 正数になります
Well, that's just positive 4.
これはクラスタ係数の計算式です
The last question asked, what is the maximum clustering coefficient for a node in B?
乗算の回数も少なくなるのです 算術計算でCPUに乗算をさせるのにも
This means it takes less time to do our recursive walk and interpret it, and we have fewer multiplications.
2つの虚数を 乗算すると
And you can only add imaginary terms to each other.
乗算します これは非常に数字の筆算と
Now, we take that 4x squared and we multiply it by our expression.
いいですか 指数の乗算です
That equals x to the seventh.
10 2 10 9は この2つの数をまず乗算 この累乗数は
And then 10 to the negative 2 times 10 to the ninth, when you multiply two numbers that are being raised to exponents and have the exact same base so it's 10 to the negative 2 times 10 to the negative 9 we can add the exponents.
ベクトルをスケールするとどうなるでしょう いくつかのスカラー係数で乗算します
Now let's think about what happens when we scale our vectors.
乗算
Multiply
乗算
Multiplication
係数を算出する時に重要になる
And X1 and X2. Okay?
分数の乗算です これは 12です
And then multiply that by 3, it's 12, just multiplying fractions.
実際には 代数で この乗算をし
And don't take my word for it.
加算 減算 乗算 剰余
Afterwards, we have about a dozen or so binary rules.
乗算すると16で 加算すると10になる数値で
And now see if you can factor the denominator. And this one's more straightforward. The coefficient here is 1.
x 用語で 右か 係数 x の 2乗用語です b 係数 x 用語と c の定数です
So, I just said and look, the a is just the coefficient on the x term, right? a is the coefficient on the x squared term. b is the coefficient on the x term, and c is the constant.
X の 2乗の項は 係数がー 9 です
Well, A is the coefficient on the x squared term.
累乗数を累乗すると これら 2 つの指数を乗算することができます
So that's our third exponent rule, that when I raise an exponent to a power, and then I raise that whole expression to another power,
同じ数で乗算すると 何も変更されません それを乗算する場と
As long as I multiply the numerator and the denominator by the same number I'm just multiplying my 1, so I'm not changing anything.
乗算と除算や 正数や負数を含む不等式です 先のビデオのように
In this video, I want to tackle some inequalities that involve multiplying and dividing by positive and negative numbers, and you'll see that it's a little bit more tricky than just the adding and subtracting numbers that we saw in the last video.
1から始めます この数を一回乗算します これは 1 回 乗算します
One definition of exponentiation is that you start with a one, you start with a one, then you multiply this number times a one once.
両辺に左辺の係数の逆数を掛け算しなければなりません 係数は 6なので
We just have to multiply both sides times the reciprocal of the coefficient on the left hand side.
これでどのノードVのクラスタ係数も計算でき
Two times the number of links divided by length of neighbors times length of neighbors minus one.
相関係数を実際に計算していきます
And then in the second segment we'll take a more mathematical approach.
次に見る計算結果は年齢の回帰係数
If you go back and look at the scatter plot, you sort of see how we would get that value.
相関係数rを計算してもらいますが
If you look at that data between axes x and y,
1 またはー 1の 係数がここにありません 2つの数の加算がこの値に等しく 乗算がこれに等しくなります
Well, remember, in all of these problems where you have a non 1 or non negative 1 coefficient here, we look for two numbers that add up to this, whose product is equal to the product of that times that.
その数字を三回加算します 3乗は
So when you multiply by 3, you're adding the number to itself three times.
小さなデルタ関数をこれで乗算すると
I could just draw it like this.
3 を取得する 2 つの数値の乗算は
So first of all, I have a positive 3 here.

 

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