0.7.8 • Published 8 months ago

@aryth/rand v0.7.8

Weekly downloads
32
License
MIT
Repository
github
Last release
8 months ago

@aryth/rand

npm version npm download monthly npm download total npm dependents npm license pp install size github commit last github commit total

//: <> (Shields)

//: <> (Link)

Math util library

Features

Install

$ npm install @aryth/rand

Usage

Norm Definition

R0 = 3.442619855899: This is the start of the tail region of the normal distribution. It's the x-coordinate beyond which the algorithm handles the "tail" of the distribution specially. This value is chosen so that the tail can be efficiently sampled.

R1 = 1.0 / R0: This is simply the reciprocal of R0, used in the tail sampling portion of the algorithm.

R0S = exp(-0.5 R0 R0): This represents the height of the normal probability density function at the point R0. It's the y-coordinate of the normal curve at the tail cutoff point.

VN = 9.91256303526217e-3: This constant represents the volume of the base rectangle in the norm structure. It's a carefully chosen value that makes the algorithm efficient.

M1 = 2147483648.0: This is 2^31, the maximum value that can be represented in a 32-bit signed integer. It's used as a scaling factor to convert between floating-point and integer representations.

N2P32 = -0x100000000: This is -2^32, used in the uniform random number generator (rand() method). It helps scale the output of the xorshift() function to produce numbers in the 0,1 range.

Meta

LICENSE (MIT)

0.7.2

1 year ago

0.7.4

8 months ago

0.7.3

1 year ago

0.7.6

8 months ago

0.7.5

8 months ago

0.7.8

8 months ago

0.7.7

8 months ago

0.7.0

1 year ago

0.6.9

3 years ago

0.6.7

3 years ago

0.6.8

3 years ago

0.6.3

3 years ago

0.6.5

3 years ago

0.6.4

3 years ago

0.6.1

3 years ago

0.6.0

3 years ago

0.5.10

4 years ago

0.5.4

4 years ago

0.5.3

4 years ago

0.5.6

4 years ago

0.5.0

4 years ago

0.5.2

4 years ago

0.5.1

4 years ago

0.5.8

4 years ago

0.5.7

4 years ago

0.5.9

4 years ago

0.4.10

4 years ago

0.4.9

4 years ago

0.4.8

4 years ago

0.4.5

4 years ago

0.4.4

4 years ago

0.4.7

4 years ago

0.4.3

4 years ago

0.4.2

4 years ago

0.3.26

4 years ago

0.3.23

4 years ago

0.3.22

4 years ago

0.3.20

4 years ago

0.3.21

4 years ago

0.3.19

5 years ago

0.3.18

5 years ago

0.3.17

5 years ago

0.3.16

5 years ago

0.3.15

5 years ago

0.3.14

5 years ago

0.3.13

5 years ago

0.3.11

5 years ago

0.3.7

5 years ago

0.3.10

5 years ago

0.3.6

5 years ago

0.3.4

5 years ago

0.3.2

5 years ago

0.3.3

5 years ago

0.3.1

5 years ago

0.3.0

5 years ago

0.2.14

5 years ago

0.2.13

5 years ago

0.2.12

5 years ago

0.2.11

5 years ago

0.2.10

5 years ago

0.2.9

5 years ago

0.2.8

5 years ago

0.2.7

5 years ago

0.2.6

5 years ago

0.2.5

5 years ago

0.2.4

5 years ago

0.2.3

5 years ago

0.2.2

5 years ago

0.2.1

5 years ago

0.1.14

5 years ago

0.2.0

5 years ago

0.1.13

5 years ago

0.1.11

5 years ago

0.1.12

5 years ago

0.1.10

5 years ago

0.1.8

6 years ago

0.1.9

6 years ago

0.1.7

6 years ago

0.1.4

6 years ago

0.1.3

6 years ago

0.1.2

6 years ago

0.1.0

6 years ago

0.0.13

6 years ago

0.0.12

6 years ago

0.0.11

6 years ago

0.0.10

6 years ago

0.0.9

6 years ago

0.0.8

6 years ago

0.0.7

6 years ago

0.0.6

6 years ago

0.0.5

6 years ago

0.0.4

6 years ago

0.0.3

6 years ago

0.0.2

6 years ago

0.0.1

6 years ago