Question

Сортировка элементов масовов по возрастанию​

Answer 1

Программа:

Pascal:

const N = 10;

var

 arr: array[1..N] of integer;

 i, j, tmp: integer;

begin

 for i := 1 to N do arr[i] := random(100);

 writeln(arr);

 

 for i := 1 to N - 1 do

   for j := 1 to N - i do

     if (arr[j] > arr[j+1]) then begin

       tmp := arr[j];

       arr[j] := arr[j+1];

       arr[j+1] := tmp;

     end;

writeln(arr);

end.

Результат:

[89,25,33,46,32,84,80,2,59,41]

[2,25,32,33,41,46,59,80,84,89]

Answer 2

Sorting Elements in C++

To sort elements in C++ in ascending order, there are several sorting algorithms you can use. Here are some commonly used sorting algorithms in C++:

1. Bubble Sort: This algorithm repeatedly compares adjacent elements and swaps them if they are in the wrong order. The process is repeated until the array is sorted. Bubble sort has a time complexity of O(n^2).

2. Selection Sort: This algorithm divides the array into two parts: the sorted part and the unsorted part. It repeatedly selects the smallest element from the unsorted part and swaps it with the first element of the unsorted part. Selection sort also has a time complexity of O(n^2).

3. Insertion Sort: This algorithm builds the final sorted array one element at a time. It takes an element from the unsorted part and inserts it into its correct position in the sorted part. Insertion sort has a time complexity of O(n^2).

4. Quick Sort: This algorithm uses a divide-and-conquer approach. It selects a pivot element and partitions the array into two sub-arrays, one with elements smaller than the pivot and one with elements greater than the pivot. It then recursively sorts the sub-arrays. Quick sort has an average time complexity of O(n log n).

5. Merge Sort: This algorithm also uses a divide-and-conquer approach. It divides the array into two halves, recursively sorts them, and then merges the two sorted halves. Merge sort has a time complexity of O(n log n).

6. Shell Sort: This algorithm is an extension of insertion sort. It sorts elements that are far apart and gradually reduces the gap between elements to be compared. Shell sort has a time complexity that depends on the chosen gap sequence.

7. Heap Sort: This algorithm uses a binary heap data structure to sort elements. It first builds a max heap from the array and then repeatedly extracts the maximum element from the heap and places it at the end of the array. Heap sort has a time complexity of O(n log n).

These sorting algorithms can be implemented in C++ using various techniques and data structures. For example, you can use arrays, vectors, or other data structures to store the elements to be sorted. You can also use the built-in `sort()` function from the `` library in C++ to sort elements in ascending order.

Here's an example of sorting elements in C++ using the `sort()` function:

#include 
#include 
#include

int main() {
    std::vector numbers = {5, 2, 8, 1, 9};

// Sort the elements in ascending order
    std::sort(numbers.begin(), numbers.end());

// Print the sorted elements
    for (int number : numbers) {
        std::cout << number << " ";
    }

return 0;
}

This code uses the `sort()` function from the `` library to sort the elements in the `numbers` vector in ascending order. The sorted elements are then printed to the console.

Keep in mind that the choice of sorting algorithm depends on various factors such as the size of the input, the desired time complexity, and the specific requirements of your application.

I hope this helps! Let me know if you have any further questions.