1. Find the smallest element in the unsorted portion. 2. Swap it with the first element of the unsorted portion. 3. Repeat for the remaining unsorted portion.

1. Assume the first element is sorted. 2. Take the next element and insert it into the correct position in the sorted portion. 3. Repeat for all remaining elements.

1. Iterate through the list. 2. Compare each element with the next. 3. If any element is greater than the next, the list is not sorted.

1. Find the minimum element in the unsorted array. 2. Swap the found minimum element with the first element of the unsorted array. 3. Move to the next element in the unsorted array. 4. Repeat until the array is sorted.

1. Iterate from the second element to the end of the array. 2. For each element, compare it with the elements before it. 3. Shift the elements greater than the current element to one position ahead of their current position. 4. Insert the current element in the correct position.

1. Start from the first element of the ArrayList. 2. Compare each element with the next element in the ArrayList. 3. If any element is greater than the next element, return false. 4. If the end of the ArrayList is reached, return true.

Find the smallest element in the unsorted portion.

Assume the first element is sorted.

Iterate through the list.

Repeat for the remaining unsorted portion.

Repeatedly selecting the smallest element and moving it to the sorted portion.

Building a sorted subarray by inserting elements from the unsorted portion into their correct positions.

Iterate through the list, checking if each element is less than or equal to the next.

To arrange elements in a specific order, typically ascending or descending, for easier searching and data retrieval.

They help in understanding the efficiency of different algorithms and choosing the best one for a specific task.

Sorted subarray and unsorted subarray.

Sorted subarray and unsorted subarray.

To ensure data integrity and efficiency in search and retrieval operations.

To understand their relative efficiency and choose the best one for a given situation.

To rearrange elements in the correct order.

Selection Sort: Finds the minimum element and swaps. | Insertion Sort: Inserts elements into the sorted portion.

Selection Sort: Requires more data accesses and modifications. | Insertion Sort: Requires fewer data accesses and modifications.

Selection Sort: Performance not affected by input. | Insertion Sort: More efficient when data is partially sorted.

Selection Sort: Generally simpler to implement. | Insertion Sort: Slightly more complex due to shifting elements.

Selection Sort: Performance is generally consistent. | Insertion Sort: Can be faster for small, nearly sorted datasets.

Selection Sort: Performs fewer swaps. | Insertion Sort: Performs more swaps.

Selection Sort: Not adaptive (doesn't take advantage of existing order). | Insertion Sort: Adaptive (performs better on nearly sorted data).

Selection Sort: Suitable for small datasets where minimizing writes is important. | Insertion Sort: Suitable for small datasets or when data is nearly sorted.

Selection Sort: O(n^2). | Insertion Sort: O(n^2).

Selection Sort: O(1). | Insertion Sort: O(1).