Algorithms: Difference between revisions

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Sample Output : [ 0, 2, 3, 4, 5, 7, 8, 9 ]
Sample Output : [ 0, 2, 3, 4, 5, 7, 8, 9 ]


'''Python Code'''
'''Example Python Code'''
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{|
def insertionSort(alist):
def insertionSort(alist):
  :for index in range(1,len(alist)):
  :for index in range(1,len(alist)):
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insertionSort(alist)
insertionSort(alist)
print(alist)  
print(alist)  
 
|}
=== Which Algorithms Are Best Suited for Which Tasks ===
=== Which Algorithms Are Best Suited for Which Tasks ===



Revision as of 11:40, 13 December 2016

Algorithms are a type of technology used in multiple fields of study that dictate or alter streams of information (in this case we will most be referring to computer science). The code/pseuocode presented on here will be written in Python.

Case Uses For Implementing Algorithms (Engineering and Computer Science) :

Common Computer Science Algorithms

Algorithms used in Computer Science are developed and implemented to alter the way data moves in network somehow ( the network representing the collection of data used to create a program/system )


The most common present:


Insertion Sort (sorting algorithm for small number of elements): This Algorithm rearranges a disordered list of integers and rearranges them in natural order. This algorithm is typically used for small array of elements.

Sample Input : [ 8, 3, 9, 0, 2, 7, 4, 5 ] Sample Output : [ 0, 2, 3, 4, 5, 7, 8, 9 ]

Example Python Code


def insertionSort(alist): :for index in range(1,len(alist)):  : :currentvalue = alist[index]  : :position = index  : :while position>0 and alist[position-1]>currentvalue:  : : :alist[position]=alist[position-1]  : : :position = position-1  : :alist[position]=currentvalue alist = [54,26,93,17,77,31,44,55,20] insertionSort(alist) print(alist)

Which Algorithms Are Best Suited for Which Tasks

Optimizing Algorithms

Writing Your Own Algorithms