The Bubble Sort
Implementation: Beginner
Description  The bubble sort is one of the simplest methods you can use. This method works well for simple data structures or if the data set to be sorted is more or less sorted. The bubble sort is very inefficient for a general data set. In the bubble sort algorithm, successive sweeps are made through the records to be sorted. During each sweep, the algorithm compares the key to the elements and swaps the elements if they are not in the desired order. Swapping occurs only among consecutive elements of the data structure. As a result, only one element is placed in its sorted place after each sweep. The sorted elements are not needed for comparison in successive sweeps. 
Pseudocode  For iteration = 0 to (n1) Begin For I = 0 to (n1iteration) Begin If array[I] > array[I+1] then Swap array[I] and array[I+1] End End 
Code  void CSort::BubbleSort( void )

Analysis 

The Selection Sort
Implementation: Beginner
Description  The selection sort algorithm is based on using the data elements as keys for comparison such that, at the end of each scan, only one data element is placed in the desired sorted position. This algorithm is simple but very inefficient because it does not consider partial or fully sorted lists. In other words, if you have a partial or fully presorted list, the selection sort does the same number of comparisons as it would on a completely random list and does not use any intelligence (unlike the bubble sort) to improve the performance. As a result the, the selection sort does not really lend itself to a bestcase scenario. 
Pseudocode  For iteration = 0 to (n1) Begin Lowest = iteration For I = iteration+1 to (n1) Begin If ( array[Lowest] > array[I] ) Lowest = I End Swap array[iteration] and array[lowest] End 
Code  void CSort::SelectionSort( void ) 
Analysis 

The Quick Sort
Implementation: Expert
Description  The quick sort is the most efficient internal sort algorithm. Its preformance is largely influence by the choice of the pivot. The quick sort makes use of three strategies:
A quick sort can be implemented in several ways, but the goal of each approach is to select a data element and place it in its proper position (which is referred to as the pivot) so that all the elemets on the left sided of the pivot are less than (or come before) the pivot and all the elements on the right side of the pivot are greater than (or come after) the pivot. The choice of the pivot and the method used to split the array has a big influence on the overall preformance. 
Pseudocode 

Code  void CSort::QuickSort( int first, int last )

Analysis 

Software comparison:
Bubble Sort  Selection Sort  Quick Sort  Items  
39  45  30  29  63  34  10 
98  165  59  60  95  59  20 
149  366  92  82  99  55  30 
204  633  144  135  126  81  40 
Summary
The key point to remember is that the efficiency of any sorting method strongly depends on the implementation of the method and the actual data the method is sorting. The best way to choose the right sorting method for you needs is to test each method again various types of inputs. In particular, against a sample of the kind of data you intend to sort.
Downloads
Download the following code to test the sorting methods:
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include algorithm, then use the stl sort
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