我正在寻找一种资源, 来解释白皮书中常见的数学操作, 使数学背景极少的编码员能够理解 编译语句, 用于循环等。
在不同的方程式中,我经常看到同样的符号,这往往导致容易理解的算法。 对这些符号的含义的概述将大大有助于使学术论文更加容易理解。
只有那些我能够想到的不明显(电算函数、三角函数等),并且在代码中具有直接等同的代码是总和、和产品。
例如 是:
sum = 0;
for (i = 0; i < len(a); ++i) sum += a[i];
以及一些相关细节:下标(线下小号)通常与数组索引相同(因此, > i 中 中 可能写得小,下面和 a 右侧)。 类似地, 值的范围(这里是 0 与 a 的长度)可以作为两个小数字,仅以0 ,底值、终点值、 n ,顶端)为两个小数字。
等效产品为 :
product = 1;
for (i = 0; i < len(a); ++i) product *= a[i];
批注 xan 中的 < em> 更新 也表示覆盖矩阵。 这些矩阵变得复杂, 但最简单的时候你可能会看到类似 :
a[i] = M[i][j] b[j]
(如上所述, i 和 j 更有可能是下标)。
for (i = 0; i < len(a); ++i) {
a[i] = 0;
for (j = 0; j < len(b); ++j) a[i] += M[i][j] * b[j]
}
更糟糕的是,往往会简单地以 a = M b 的形式写成,而你预期自己会填满所有的东西。...
更新2 以下引用的文件是 w(s[i],0)= alpha[d] * 大小(s[i]) 。
double Size(struct s) { ... }
double w(struct s, int x) {
if (x == 0) return alpha[d] * Size(s);
...
}
其它术语具有相似的外观外观, 但实际上并不复杂函数调用和乘法。 注意 < code_...\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
我经常使用这个网站 进行复杂的数学操作 转换成代码,我从来没有高中毕业
http://www.wolframalpha.com/
“ 共同数学操作” 取决于您习惯于解决的各类问题。 它们可以从简单的算术( +, -, *, /) 到微积分( 整体、 总和、 衍生物、 部分差异方程、 母体等) 等一系列问题 。
"常识"对你和你的发展团队意味着什么?
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