LaTeXの式

$$ 
x_i^2 
$$

\ [X_I ^ 2 \]

$$ 
\log_2 x 
$$

\ [\ log_2 X \]

$$ 
10^{10} 
$$

\ [10 ^ {10} \]

$$
 \{1+2\} 
$$

\ [\ {1 + 2 \} \]

$$
\frac{1+1}{2}+1
$$

\ [\ FRAC {1 + 1} {2} +1 \]

$$
\sum_1^n
$$

\ [\ sum_1 ^ N \]

$$
\int_1^n
$$

\ [\ int_1 ^ N \]

$$
lim_{x\to\infty}
$$

\ [lim_ {X \ inftyのに\} \]

$$
\begin{matrix}
        1 & x & x^2 \\
        1 & y & y^2 \\
        1 & z & z^2 \\
\end{matrix}
$$

\ [\ \端{行列} \ {行列} ^ 2 \\ 1・X・X ^ 2 \\ 1&Y&Y ^ 2 \\ 1&Z&Zを開始します]

$$
h(\theta) = \sum_{j=0}^n\theta_jx_j
$$

\ [H(\シータ)= \ sum_ {J = 0} ^ N \ theta_jx_j \]

$$
\frac{\partial J(\theta)}{\partial\theta_j} = -\frac{1}{m}\sum_{i=0}^m(y^i-h_\theta(x^i))x_j^i
$$

\ [\ FRAC {\部分J(\シータ)} {\部分の\ theta_j} = - \ FRAC {1} {M} \ sum_ {i = 0} ^ M(Y ^ I-H_ \シータ(X ^ I ))X - jが^私は\]

$$
f(n) = 
    \begin{cases}
    n/2,  & \text{if $n$ is even} \\
    3n+1, & \text{if $n$ is odd} 
    \end{cases}
$$

\ [F(N)= \ {$ N $が偶数の場合}、{$ N $が奇数の場合} 3N + 1、&\テキスト\\ \テキスト&2 / N {ケースを}開始\端{ケース} \ ]

$$
\left\{
    \begin{array}{}
        a_1x+b_1y+c_1z = d_1\\
        a_2x+b_2y+c_2z = d_2\\
             a_3x+b_3y+c_3z = d_3
    \end{array}
\right.
$$

\ [\左\ {\端{アレイ} \右\ {アレイ} {} a_1x + b_1y + c_1z = D_1 \\ a_2x + b_2y + c_2z = D_2 \\ a_3x + b_3y + c_3z = D_3を始めます。\]

$$
X = \left(
    \begin{matrix}
        x_{11} &x_{12}&\cdots&x_{1d}\\
        x_{21} &x_{22}&\cdots&x_{2d}\\
        \vdots&\vdots&\ddots&\vdots\\
        x_{m1}&x_{m2}&\cdots&x_{md}
    \end{matrix}
    \right)
  = \left(
    \begin{matrix}
        x_1^T\\
        x_2^T\\
        \vdots\\
        x_m^T\\
    \end{matrix}
      \right)
$$

\ [X = \(左\開始{行列} X_ {11}&X_ {12} - \ cdots&X_ {1D} \\ X_ {21}&X_ {22} - \ cdots&X_ {2D} \\ \ vdots&\ vdots&\ ddots& \ vdots \\ X_ {M1}&X_ {M2}&\ cdots&X_ {MD} \端{行列} \右)= \左(\ {行列} X_1を開始^ T \\ X_2 ^ T \\ \ vdots \\ x_m ^ T \\ \端{行列} \右)\]

$$
\begin{align}
\frac{\partial J(\theta)}{\partial \theta_j}
    & = -\frac{1}{m}\sum_{i=0}^m(y^i-h_\theta(x^i))\frac{\partial}{\partial\theta_j}(y^i-h_\theta(x^i))  \\
    & = -\frac{1}{m}\sum_{i=0}^m(y^i-h_\theta(x^i))\frac{\partial}{\partial\theta_j}(\sum_{j=0}^n\theta_jx_j^i-y^i)  \\
    & = -\frac1m\sum_{i=0}^m(y^i-h_\theta(x^i))x_i^j
 \end{align}
$$

\ FRAC {1} {M} \ sum_ {i = 0} ^ M(Y ^ I-H_ - \ [\ \ {整列} FRAC {\部分J(\シータ)} {\部分の\ theta_j}&=を開始\シータ(X ^ i))を\ FRAC {\部分} {\部分の\ theta_j}(y ^ I-H_ \シータ(X ^ i))を\\&= - \ FRAC {1} {M} \ sum_ { I = 0} ^ M(Y ^ I-H_ \シータ(X ^ i))を\ FRAC {\部分} {\部分の\ theta_j}(\ sum_ {J = 0} ^ N \ theta_jx_j ^ IY ^ I)\ \&= - \ frac1m \ sum_ {i = 0} ^ M(Y ^ I-H_ \シータ(X ^ i))をX_I ^ j個の\端{整列} \]

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転載: www.cnblogs.com/xxxxxxxxx/p/10977771.html