Classic Arrays in Ring Language

[Bert Mariani]

Hello Mahmoud et ALL

Classic Arrays in Ring Language

Ring Language - Classic Arrays Implementation
Demonstrating traditional array operations for numerical calculations

Attached:  Array-Ring-Classic.ring

At the start it will run a Demo inside the App 

Using the built in Functions and Class

That shows Results of  assorted Array Calculations 

See below for:

    - Functions

    - Class

    - Output

===========================

FUNCTIONS

func arrayAdd(arr1, arr2)
func arraySubtract(arr1, arr2)
func arrayScalarMultiply(arr, scalar)
func arrayMultiply(arr1, arr2)
func arrayDotProduct(arr1, arr2)
func arraySum(arr)
func arrayMean(arr)
func arrayMin(arr)
func arrayMax(arr)
func matrixMultiply(mat1, mat2)
func arrayStandardDeviation(arr)
func arrayLinearRegression(x_arr, y_arr)

CLASS
Class ClassicArray
func init(array_size, initial_value)
func getElement(index)
func setElement(index, value)
func calculateFlatIndex(indices)
func getSize()
func getDimensions()
func fill(value)
func print()

============================

OUTPUT Result of Demo

Classic Arrays in Ring Language
================================

1D Array Operations:
--------------------
Array 1: [2, 4, 6, 8, 10]
Array 2: [11, 12, 13, 14, 15]
Addition: [13, 16, 19, 22, 25]
Subtraction: [-9, -8, -7, -6, -5]
Scalar multiply by 3: [6, 12, 18, 24, 30]
Dot product: 410
Array 1 sum: 30
Array 1 mean: 6
Array 1 min: 2
Array 1 max: 10
Array 1 std dev: 2.83

2D Array (Matrix) Operations:
-----------------------------
Matrix 1:
[1, 2, 3]
[4, 5, 6]
[7, 8, 9]
Matrix 2:
[2, 3, 4]
[3, 4, 5]
[4, 5, 6]
Matrix multiplication result:
[20, 26, 32]
[47, 62, 77]
[74, 98, 122]
Statistical Analysis Example:
-----------------------------
X data: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
Y data: [9, 8, 9, 18, 13, 13, 15, 26, 28, 23]
Linear regression:
  Slope: 2.07
  Intercept: 4.80
  Equation: y = 2.07x + 4.80

Performance Comparison:
-----------------------
Created arrays of size 1000
Array addition time: 3 clock ticks
Dot product time: 2 clock ticks
Dot product result: 2554441

Classic array operations completed!

==========================

[Mahmoud Fayed]

Hello Bert

Thanks for sharing :D

Added to GitHub in this commit:  Add: samples/General/ClassicArrays/ClassicArrays.ring by Bert Mariani · ring-lang/ring@3637e58

Greetings,

Mahmoud

[CalmoSoft]

Hello Bert,

You can add  matrix transposition on Rosetta Code

Greetings,

Gal Zsolt

CalmoSoft

[Bert Mariani]

Hello Calmo

Matrix Transposition for Ring -- Already exists in Rosetta Code

Ring Documentation Section 43.35  also has an example

===========================

RING
load "stdlib.ring"
transpose = newlist(5,4)
matrix = [[78,19,30,12,36], [49,10,65,42,50], [30,93,24,78,10], [39,68,27,64,29]]
for i = 1 to 5
    for j = 1 to 4
        transpose[i][j] = matrix[j][i]
        see "" + transpose[i][j] + " "
    next
    see nl
next

OUTPUT
78 49 30 39
19 10 93 68
30 65 24 27
12 42 78 64
36 50 10 29

=================================

Ring Documentation

43.35 MatrixTrans() Function

Transpose an arbitrarily sized rectangular Matrix

Load "stdlibcore.ring"
# Transpose an arbitrarily sized rectangular Matrix.
Puts("Test Matrixtrans()")
matrix = [[78,19,30,12,36], [49,10,65,42,50], [30,93,24,78,10], [39,68,27,64,29]]
see Matrixtrans(matrix)

[CalmoSoft]

Hello Bert,

Thanks for your informations.

Greetings,

Gal Zsolt

CalmoSoft