Big N!
Using C/C++ we can’t calculate very big number of prime factors. So we use string to store it.
Using C/C++ we can’t calculate very big number of prime factors. So we use string to store it.
The problem A+B is probably the easiest problem, however, the maxim number C/C++ can calculate is between -9223372036854775808~9223372036854775807. The bigger number can’t be calculate unless you use Python or Java. So I’m going to introduce a way to calculate the big number of A+B.
Here are some symbols that are not used very usual and how to type it in LaTex.
combination:
$$
\overrightarrow{v_1}, \overrightarrow{v_2}, \overrightarrow{v_3} \cdots \overrightarrow{v_n} \in \mathbb{R}^n c_1 \overrightarrow{v_1}+c_2 \overrightarrow{v_2}+\cdots+c_n \overrightarrow{v_n}\left[\left(c_1 \rightarrow c_n\right) \in \mathbb{R}\right]
$$
span: $\vec{a}, \vec{b} \in \mathbb{R}$
The code of the bouncing all and more projects.
I’ve learnt Processing JavaScript a little and have some complete projects. They are very simple but I think they are not ugly.
In order to post my note of linear algebra, I need to know how to put matrix using LaTex. The followings are the usage.
intro:
$\left[\begin{array}{lll}x & x & x\end{array}\right] \rightarrow$ element amount $(n)=n$ dimension
$\mathbb{R}^n$ (e.g. n = 3 3 Dimension)
To describe supervised learning,we establish notation for future use.
**$x^i$ **denote the input variables also called input features
**$y^i$ ** denote the output variables also called target variables that we are trying to predict.
A pair **($x^i, y^i$) **is called a training set.