Vector

Try to call target method in vector mode.

abs(x) computes the absolute value of x, sqrt(x) computes the (principal) square root of x, √{x}.

log computes logarithms, by default natural logarithms, log10 computes common (i.e., base 10) logarithms, and log2 computes binary (i.e., base 2) logarithms. The general form log(x, base) computes logarithms with base base. log1p(x) computes log(1+x) accurately also for |x| << 1. exp computes the exponential function. expm1(x) computes exp(x) - 1 accurately also for |x| << 1.

log computes logarithms, by default natural logarithms, log10 computes common (i.e., base 10) logarithms, and log2 computes binary (i.e., base 2) logarithms. The general form log(x, base) computes logarithms with base base. log1p(x) computes log(1+x) accurately also for |x| << 1. exp computes the exponential function. expm1(x) computes exp(x) - 1 accurately also for |x| << 1.

Rounding of Numbers

Bessel Functions of integer and fractional order, of first and second kind, J(nu) and Y(nu), and Modified Bessel functions (of first and third kind), I(nu) and K(nu).

Numeric vector with the (scaled, if expon.scaled = TRUE) values of the corresponding Bessel function. The length of the result is the maximum of the lengths of the parameters. All parameters are recycled to that length.

Bessel Functions of integer and fractional order, of first and second kind, J(nu) and Y(nu), and Modified Bessel functions (of first and third kind), I(nu) and K(nu).

Numeric vector with the (scaled) values of the modified Bessel function I(nu).

order returns a permutation which rearranges its first argument into ascending or descending order, breaking ties by further arguments. sort.list is the same, using only one argument.

order()的返回值是对应排名的元素所在向量中的位置。

 x <- c(97, 93, 85, 74, 32, 100, 99, 67);
 
 sort(x)
 # [1] 32  67  74  85  93  97  99 100
 order(x)
 # [1] 5 8 4 3 2 1 7 6
 rank(x)
 # [1] 6 5 4 3 1 8 7 2

Creates vector with m element and init value set to zero It creates a double-precision vector of the specified length with each element equal to 0.

equality to R expression

 numeric(m)

创建一个空的向量，包含有零个元素

Creates vector with a specific value sequence.

Creates vector with a specific value sequence

Init with transform

Creates vector with a specific value sequence

Creates vector with m element and init value specific by init parameter.

Creates a vector from a specified array starting at a specified index position.

Creates a vector from a specified array starting at a specified index position.

Convert the vector as the diagonal matrix

returns a NxN matrix object, N size is equals to the vector dimension size

Copies the vector instance to a specified destination array starting at a specified index position.

Copies the vector instance to a specified destination array starting at a specified index position.

Copies the vector instance to a specified destination array starting at a specified index position.

Make data copy from the given source to current vector object

两个向量加法算符重载，分量分别相加

this operator is a safe function: if any one vector is nothing, then returns the copy of another vector directly.

向量减加实数，各分量分别加实数

实数加向量

向量减法算符重载，分量分别相减

向量减实数，各分量分别减实数

实数减向量

向量乘法算符重载，分量分别相乘，相当于MATLAB中的.*算符

向量乘法算符重载，分量分别相乘，相当于MATLAB中的.*算符

向量 数乘，各分量分别乘以实数

向量 数乘

向量除法算符重载，分量分别相除，相当于MATLAB中的./算符

向量 数除，各分量分别除以实数

向量内积

向量外积（相当于列向量，乘以横向量）

负向量

x向量之中的每一个元素是否都等于n?

x向量之中的每一个元素是否都等于n?

Power: Math.Pow()

返回一个逻辑向量，用来指示向量对象的每一个分量与目标比较的逻辑值结果

x <= n

[1,2,3,4,5,6,...]

进行序列切片操作

dot

• http://mathworld.wolfram.com/DotProduct.html
• http://www.mathsisfun.com/algebra/vectors-dot-product.html

helper function for vector dot product

helper function for vector dot product

返回这个向量之中的所有的元素的乘积

scale elements in current vector to another value range.

a new data Vector which its element value is in range of a given range.

Display member's data as json array

http://math.stackexchange.com/questions/440320/what-is-magnitude-of-sum-of-two-vector

Returns a numeric vector with all elements is value 1

this method can be affected by the RandomExtensions.SetSeed() method.

create a vector that contains the random number from the gaussian distribution

gaussian number generated via the RandomExtensions.NextGaussian() method.