Sort function in C++

Sort function in C++ | C++ Algorithm Sort

Sorting is an essential task in everyday life and Mathematics too.  Most of the time, you have to sort objects or numbers in ascending or descending order, or in even an odd series. It all depends on how you want to arrange your numbers or objects. C++ helps in the sorting process by providing a Sort() function in STL, the Standard Template Library. STL is a library which consists of predefined functions and data structure which makes it user-friendly. STL also consists of container classes and algorithms and iterators.

To learn more about the basics of Now let’s get to know about the Sort Algorithm in STL.

• 
  Sort Algorithm
  
• 
  Types of Sort function
  
• 
  Sorting Integral Data Types
  
• 
  Sort using a Function Object
  
• 
  Sorting using the Lambda Expression
  
• 
  Insertion Sort
  
• 
  Bubble Sort
  
• 
  Selection Sort
  

Sort Algorithm

Before we know more about Sort () in STL, there are a few important points we need to know about Sort ().

1. 
   In C++ STL, we have a sort function which can sort in increasing and decreasing order.
   

2. 
   Not only integral but you can sort user-defined data too using this function.
   

3. 
   Internally it uses IntroSort, which is a combination of QuickSort, HeapSort and InsertionSort.
   

(This is important as it occurs internally and no one knows about it.)

4. 
   By default, it uses QuickSort, but if QuickSort is doing unfair partitioning and taking more than N*logN time, it switches to HeapSort. When the array size becomes very small, it switches to InsertionSort. 
   

(This conversion and checking occurs internally and is not very popular to people)

5. 
   We can use parallel execution policy for better performance.
   

(To invoke this policy all you have to do is pass only one parameter which is std::sort(std::execution::par, Vec.begin(),Vec.end());

You have to mention the start and the end, and it will take care of the rest. You don’t have to do any multithreading coding to get a good result.

Note: There are a few situations where you cannot use parallel execution policy when you have data arrays. There are so many other algorithms in the algorithm section of STL for it. You can also do parallel processing.)