https://github.com/axect/numeric

Go Package for Numerical Calculations
https://github.com/axect/numeric

array go-packages numerical-calculations statistics

Last synced: about 1 month ago
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Go Package for Numerical Calculations

• Host: GitHub
• URL: https://github.com/axect/numeric
• Owner: Axect
• Created: 2017-09-19T08:37:54.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-11-18T02:34:06.000Z (about 6 years ago)
• Last Synced: 2024-10-15T21:45:20.843Z (3 months ago)
• Topics: array, go-packages, numerical-calculations, statistics
• Language: Go
• Homepage:
• Size: 1.33 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Go Numeric

Go Package for Numerical Calculations & Statistics

## 0. Notation

* Vector is just []float64

* Matrix is just [][]float64

For example

```go

package main

import (

    "github.com/Axect/Numeric/array"

    "github.com/Axect/Numeric/stats"

)

func main() {

    A := array.Create(1, 1, 100) // [1, 2, 3, 4, ... , 100]

    m := stats.Mean(A) // Mean

    v := stats.Var(A) // Variance

    

    B := array.Create(-100, 1, -1)

    array.Write([]Vector{A, B}, "test.csv") // Write to csvfile

}

```

## 1. Array

Array has some vector operations.

* Create (Vector)

* Zeros (Matrix)

* Eyes (Matrix)

* MatrixForm

* Float2Int

* Transpose (Matrix)

* Det

* Minor

* Inverse

* Sum

* Pow

* Sub

* Add

* Mul

* Inner

* AddConst (Vector, float64)

* SubConst

* DivisionConst

* Float2Int ([]float64 -> []int64)

* Write ([]Vector -> csv)

## 2. Stats

Stats has Probability & Statistics functions

* Factorial

* Perm

* Comb

* Homonomial

* Mean

* Var

* Std

* Cov

* CovMatrix

* Cor (Correlation Coefficient)

* Moment

* NormalDist

* BinormialDist