Sorting Algorithms with Explinations of Bubble, and Selection - By Logan.

1. bubbleSortExample(ArrayToBeSorted)

• Takes one argument, your number array, sorts it, slowly
• Bubble Sort is never recommended, but very easy to implement
• Legend has it network television used this for sorting programming. Think of it as that level of speed.
• Numbers Bubble Up. Largest numbers slowly migrate up the array indices.

2. selectionSort(ArrayToBeSorted)

• Takes one argument of number array.
• Selection Sort is in place so even if it isn't the fastest for something large, it has simple space requirements.
• Recommended for general use.

3. mergeSort(ArrayToBeSorted)

• Takes one argument, yournumber array, sorts it, at decent speed.
• This is used commonplace when data is large enough loading data is an issue.
• This sort tends to be used externally, i.e. not-in-place
• We follow the divide and conquer principle.
• Sorting is easier one at a time, from the ground up.
• Small arrays may be slower than necessary

Bubble Sort Code (Swap Included in Package):

function bubblesort(ArrayToBeSorted) { for ( let i = 0; i < ArrayToBeSorted.size - 1; i++; ) { for ( let j = 0; j < ArrayToBeSorted - ArrayToBeSorted.size - 1; j++ ) { if (ArrayToBeSorted[j] > ArrayToBeSorted[j+1]) { Swap (ArrayToBeSorted , j , j+1) } } } }

function selectionSort(ArrayToBeSorted) { var i, j, min var n = ArrayToBeSorted.length; for ( i = 0; i < n; i++; ) { min = i; for ( j = i+1; j < n; j++) { if ( ArrayToBeSorted[j] < ArrayToBeSorted[min]) { min = j; } } if (min != i) { swap(ArrayToBeSorted, i, min) } } }

function mergeSort(ArrayToBeSorted, left, right) { if ( left >= right) { return; // Returns recursively } var middle = left + parseInt((right - left)/2); mergeSort(ArrayToBeSorted, left, middle); mergeSort(ArrayToBeSorted, middle+1, right); merge(ArrayToBeSorted, left, middle, right); }