The Shell Sort
Shell sort is a highly efficient sorting algorithm and is based on insertion sort algorithm. This algorithm avoids large shifts as in case of insertion sort, if the smaller value is to the far right and has to be moved to the far left.
The shell sort, sometimes called the “diminishing increment sort,” improves on the insertion sort by breaking the original list into a number of smaller sublists, each of which is sorted using an insertion sort. The unique way that these sublists are chosen is the key to the shell sort. Instead of breaking the list into sublists of contiguous items, the shell sort uses an increment i
, sometimes called the gap, to create a sublist by choosing all items that are i
items apart.
This can be seen in Figure 6. This list has nine items. If we use an increment of three, there are three sublists, each of which can be sorted by an insertion sort. After completing these sorts, we get the list shown in Figure 7. Although this list is not completely sorted, something very interesting has happened. By sorting the sublists, we have moved the items closer to where they actually belong.
Figure 8 shows a final insertion sort using an increment of one; in other words, a standard insertion sort. Note that by performing the earlier sublist sorts, we have now reduced the total number of shifting operations necessary to put the list in its final order. For this case, we need only four more shifts to complete the process.
We said earlier that the way in which the increments are chosen is the unique feature of the shell sort. The function shown in ActiveCode 1 uses a different set of increments. In this case, we begin with n2
sublists. On the next pass, n4
sublists are sorted. Eventually, a single list is sorted with the basic insertion sort. Figure 9 shows the first sublists for our example using this increment.
The following invocation of the shellSort
function shows the partially sorted lists after each increment, with the final sort being an insertion sort with an increment of one.
def shellSort(alist):
sublistcount = len(alist)//2
while sublistcount > 0:
for startposition in range(sublistcount):
gapInsertionSort(alist,startposition,sublistcount)
print("After increments of size",sublistcount,
"The list is",alist)
sublistcount = sublistcount // 2
def gapInsertionSort(alist,start,gap):
for i in range(start+gap,len(alist),gap):
currentvalue = alist[i]
position = i
while position>=gap and alist[positiongap]>currentvalue:
alist[position]=alist[positiongap]
position = positiongap
alist[position]=currentvalue
alist = [54,26,93,17,77,31,44,55,20]
shellSort(alist)
print(alist)
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 Basic Data Structures

Objectives

What Are Linear Structures?

What is a Stack?

The Stack Abstract Data Type

Implementing a Stack in Python

What Is a Queue?

The Queue Abstract Data Type

Implementing a Queue in Python

What Is a Deque?

The Deque Abstract Data Type

Implementing a Deque in Python

Lists

The Unordered List Abstract Data Type

Implementing an Unordered List: Linked Lists

The Ordered List Abstract Data Type

Implementing an Ordered List

Vocabulary and Definitions

 Sorting and Searching
 Trees and Tree Algorithms
 Graphs and Graph Algorithms