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Sorted refers to a collection of items arranged in a specific order, typically ascending or descending, based on a particular attribute, such as numerical value or alphabetical order. Unsorted, on the other hand, describes a collection where items are not organized in any specific sequence, making it more challenging to locate or analyze individual elements. The distinction between sorted and unsorted data is crucial in computer science, particularly in algorithms and data management, as it affects efficiency in searching and processing.
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Write a c program to sort an unsorted stack?
A stack is implicitly sorted by hierarchical nested order. It does not make sense to sort a stack. Do you mean a list? If so, please ask the question again.
How can you make a turbo c program by using one for loop to sort 3 numbers in ascending order?
Use the insertion sort algorithm. Insertion sort works on the premise that a set of 1 can always be regarded as a sorted set, thus in a set of n elements, we can divide the set in two, with a sorted set at the beginning (with 1 element) and an unsorted set at the end (with all other elements). We then take the first element of the unsorted set and insert it into the sorted set, repeating until the unsorted set is empty. We take the first element out of the unsorted set by copying it to a temporary variable, thus creating a gap in its place. We then examine the element to the left of the gap and, if the value is greater than the temporary, we copy it into the gap, effectively moving the gap one place to the left. We stop moving the gap when we reach the start of the array or the element to the left of the gap is not greater than the temporary. We then copy the temporary into the gap, increasing the sorted set by one element and reducing the unsorted set by one element. We can implement this algorithm using just one for loop: void sort (int* a, unsigned s) { // assume a refers to an array of length s for (int i=2; i<s; ++i) { int t = a[i]; // temporarily store a[i] outside the array int g = i; // index g is the "gap" in the array while (0<g && t<a[g-1]) { a[g]=a[g-1]; --g; } // move the gap to the correct insertion point a[g] = t; // insert the temporary } } Thus, to sort 3 numbers: int a[3] = {2, 3, 1}; // unsorted sort (a, 3); assert (a[0]==1); assert (a[1]==2); assert (a[2]==3);
How do you explain and illustrate the insertion sort algorithm to sort a list of n numbers?
The insertion sort algorithm works by dividing a set into two subsets, where the left set is the sorted set and the right set is the unsorted set. Initially, the sorted set has just one element because a set of one can always be regarded as being sorted. The idea is that we take the first element of the unsorted set and place it at the end of the sorted set. We then repeatedly swap it with the value to its immediate left every time that value is larger than the one we're inserting. When it is not larger, the new value has found its place and we move onto the next value. We repeat the process until the unsorted set is empty.The algorithm can be implemented most efficiently using the following pseudocode:procedure insertion_sort (A, n) is input: an array reference, A, and the count of its elements, nfor i ← 1 to n-1 inclusive j ← it ← A[i]while j > 0 and A[j-1] > tA[j] ← A[j-1]j ← j - 1end whileA[j] ← tend forThe outer for loop (i) traverses forwards through the unsorted set. On each iteration of i, the first element of the unsorted set, A[j], is moved to a temporary variable, t. A[j] now marks the insertion point which is initially at the end of the sorted set. The inner while loop (j) then traverses backwards through the sorted set to find the correct insertion point. The inner loop exits when the insertion point is at the start of the array (index 0) or the value to the left of the insertion point is not greater than the temporary value. If it is greater, we move that value into the insertion point and move the insertion point one place to the left. We then begin another iteration of the inner loop. When we exit the inner loop, we move our temporary value into the insertion point and begin another iteration of the outer loop, repeating until there are no more elements in the unsorted set.You will note that we never actually perform any swaps during the inner loop. This is because a swap incurs three separate move operations. By copying the value to a temporary and moving it back when the insertion point is found, we only need one move operation in the inner loop. If the insertion point only moves one position to the left then it's effectively the same as a swap, but each subsequent move will save us two move operations which improves efficiency overall.If the insertion point happens to be at the end of the sorted set then we incur two move operations that were never actually needed (we didn't need the temporary), however this is a relatively rare case and it would actually cost more to test for that one case than it would to simply move the value twice.
What is the best sorting technique for already sorted array?
If it is already sorted, the best is to leave the array as it is.If it is already sorted, the best is to leave the array as it is.If it is already sorted, the best is to leave the array as it is.If it is already sorted, the best is to leave the array as it is.
Can you use a sequential search on an unsorted array?
Sequential search is the only way to search an unsorted array unless you resort to a multi-threaded parallel search where all threads concurrently search a portion of the array sequentially.
Do kettle lakes contain sorted or unsorted sediments?
sorted
Do sorted or unsorted materials have a higher porosity?
Unsorted materials generally have higher porosity compared to sorted materials. In unsorted materials, particles of varying sizes create more space between them, leading to higher porosity. In contrast, sorted materials have more uniform particle sizes, resulting in less pore space and lower porosity.
What is ordering in DBMS?
changing of unsorted list to sorted list in a ordering from alphabets, numbers, ASC/DESC.
What is the difference between sediments in the outwash and sediments in the moraines?
Sediments in outwash are typically well-sorted and composed of sand and gravel, deposited by meltwater streams flowing from glaciers. In contrast, sediments in moraines are unsorted and contain a mix of various sizes of rocks, debris, and till that has been directly deposited by the glacier. Outwash sediments are usually sorted by size and shape, while moraine sediments are unsorted and show a wider range of material types.
Is an outwash plain sorted or unsorted?
An outwash plain is typically sorted, meaning that the sediment particles are well-sorted by size due to the sorting process during glacial meltwater flow. This results in layers of distinct sediment sizes deposited across the plain.
How can a glacier deposit both unsorted and sorted materials?
it all comes together.
Do landslides create sorted deposits when sediment moves downhill in a jumbeled mass?
No, landslides typically create unsorted deposits due to the chaotic nature of the movement. The mix of different-sized debris and rocks in a landslide leads to unsorted deposits when the sediment settles.
What are unsorted sediments?
Unsorted sediments are deposits of rocks and minerals that are not arranged in any specific order or pattern. They are typically jumbled together by geological processes like glaciers or landslides, and can vary in size and composition. Unsorted sediments are often found near the source of their formation and can provide clues about past geologic events.
What are unsorted deposits?
Unsorted deposits refer to sedimentary deposits that have not been sorted or arranged by size or weight. This means that the particles or materials within the deposit have not undergone any sorting process based on their characteristics, such as size, shape, or density. Examples of unsorted deposits include moraines left by glaciers or alluvial fan deposits.
What is the definition of unsorted sediments?
Unsorted sediments refer to a mixture of different sizes of particles that have not been sorted or arranged by any natural process like water or wind. These sediments lack any distinct pattern in their arrangement and can be found in deposits such as till or moraines left behind by glaciers.
What is the code for sorting in C plus plus?
There are many sorting algorithms. One of the simplest to implement is the insertion sort. The following template function will sort an array of any type T that supports the less-than operator. It works by splitting the array into two subsets, where the left portion is sorted and the right is unsorted. Initially, the sorted portion has just one element since a set of one element can always be regarded as being sorted. We then work our way through each of the unsorted elements, from left to right, inserting them into their correct place in the sorted portion. To do this we need to store the current unsorted value thus creating a gap at the beginning of the unsorted portion. This gap then becomes the last element of the sorted portion, reducing the unsorted portion by one element. We then work our way through the sorted elements starting with the element to the left of the gap. If the stored value is less than the current element's value then we copy that element into the gap, thus moving the gap one position to the left. We continue in this manner until gap is at index 0 or the stored value is not less than the element to the left of the gap. We then place the stored value in the gap. We repeat this for all unsorted elements until there are none left, at which point the array is completely sorted. template<typename T> void sort(std::vector<T>& v) { if( v.size()>1 ) { for( size_t i=1; i<v.size(); ++i ) { T t = v[i]; size_t gap=i; while( gap && t<v[gap-1] ) v[gap]=v[gap--]; v[gap]=t; } } }
Is there any precondition to apply binary search procedure?
Sure. You have to have direct access to the sorted elements. You cannot use it if the elements are unsorted, or you cannot access them directly (magnetic tape for example).
