You can, but it's not as straightforward as inserting or deleting from a list. This is simply because arrays are not intended for insertions or deletions other than at the end of the array. This is because an insertion requires that the entire array be reallocated (which may require the array to be copied in its entirety) simply in order to make room for the new element, which can then simply be inserted in the unused element at the end of the new array. To insert elsewhere in the array, all the elements following the insertion point need to be copied (for a second time) into the next element, starting with the last used element. the entire process can prove quite costly, especially if the elements are complex objects which would require their copy constructors to be invoked at least once and possibly twice. This is why it is generally better to use arrays of pointers to objects rather than arrays of objects, as copying a pointer is more efficient than copying an object. However, if your array undergoes frequent resizing in order to accommodate insertions and deletions, then you really would be better off using a list.
Some immediate disadvantages:You'll have dead space in the array (entries which aren't currently used for items) taking up memoryYou'll have to keep track of the free entries - after a few insertions and deletions, these free entries could be anywhere.Using an array will impose an upper limit on the size of the linked list.
To delete an array element you must create a new array with one less element, then traverse both arrays, copying elements from one to the other, but skipping over the element you want to delete. Once all elements are copied, you can release the original array. A slightly more efficient method would be to move the empty element to the end of the array and then re-allocate the entire array with one less element, using the realloc() command. To insert a new element, create a new array with one additional element. Then traverse both arrays, copying elements from one to the other. The original array can then be deleted, and the new data can be placed at the end of the new array. Again, the realloc() command is the most efficient method of doing so. However, if the array must be sorted, you must compare the new data with each element prior to copying, and insert at the appropriate point. Once inserted, the remaining elements can be copied into place and then the original array can be released. Due to the reallocation and copying of elements, this approach is highly inefficient. You can alleviate some of the re-allocations by allocating several empty elements at a time, and keeping track of how many empty elements there are available for insertions. This can be achieved by keeping all empty elements at the end of the array, and maintaining a count of those elements. To delete an existing element, shunt data to the right one place to the left to remove the gap. And if the number of empty elements exceeds a given minimum, re-allocate the array to remove redundancy. Although this is a better approach, it is still quite inefficient, particularly if the array is large. If the array is small and there are few insertions and deletions, then it probably won't matter too much, but for larger arrays with many insertions and deletions to cater for, a far better approach would be to use a linked list. This makes better use of memory, as the list can expand and contract dynamically without the need to copy any elements (or nodes) whatsoever. Some additional memory is required to maintain the links between the nodes but, unlike an array, no memory is ever wasted.
To implement a dictionary using a hash table, you can create a class HashTable that contains an array of linked lists (or buckets) to handle collisions. Each element in the array represents a hash index, where the key-value pairs are stored as nodes in a linked list. The hash function maps keys to indices in the array, allowing for efficient O(1) average time complexity for insertions, deletions, and lookups. Additionally, implement methods for adding, removing, and retrieving values associated with keys, along with a resizing mechanism to maintain performance as the number of entries grows.
It's not exactly true. Array with fixes size are efficient, but do not work well when you have to resize your array. This actually is the answer for your question. Fixed size arrays are not efficient if you have to change the size. Also you cannot destroy them and release memory used to save the array (for that you have to use operator new).
You can, but it's not as straightforward as inserting or deleting from a list. This is simply because arrays are not intended for insertions or deletions other than at the end of the array. This is because an insertion requires that the entire array be reallocated (which may require the array to be copied in its entirety) simply in order to make room for the new element, which can then simply be inserted in the unused element at the end of the new array. To insert elsewhere in the array, all the elements following the insertion point need to be copied (for a second time) into the next element, starting with the last used element. the entire process can prove quite costly, especially if the elements are complex objects which would require their copy constructors to be invoked at least once and possibly twice. This is why it is generally better to use arrays of pointers to objects rather than arrays of objects, as copying a pointer is more efficient than copying an object. However, if your array undergoes frequent resizing in order to accommodate insertions and deletions, then you really would be better off using a list.
Some immediate disadvantages:You'll have dead space in the array (entries which aren't currently used for items) taking up memoryYou'll have to keep track of the free entries - after a few insertions and deletions, these free entries could be anywhere.Using an array will impose an upper limit on the size of the linked list.
Some immediate disadvantages:You'll have dead space in the array (entries which aren't currently used for items) taking up memoryYou'll have to keep track of the free entries - after a few insertions and deletions, these free entries could be anywhere.Using an array will impose an upper limit on the size of the linked list.
yes
To delete an array element you must create a new array with one less element, then traverse both arrays, copying elements from one to the other, but skipping over the element you want to delete. Once all elements are copied, you can release the original array. A slightly more efficient method would be to move the empty element to the end of the array and then re-allocate the entire array with one less element, using the realloc() command. To insert a new element, create a new array with one additional element. Then traverse both arrays, copying elements from one to the other. The original array can then be deleted, and the new data can be placed at the end of the new array. Again, the realloc() command is the most efficient method of doing so. However, if the array must be sorted, you must compare the new data with each element prior to copying, and insert at the appropriate point. Once inserted, the remaining elements can be copied into place and then the original array can be released. Due to the reallocation and copying of elements, this approach is highly inefficient. You can alleviate some of the re-allocations by allocating several empty elements at a time, and keeping track of how many empty elements there are available for insertions. This can be achieved by keeping all empty elements at the end of the array, and maintaining a count of those elements. To delete an existing element, shunt data to the right one place to the left to remove the gap. And if the number of empty elements exceeds a given minimum, re-allocate the array to remove redundancy. Although this is a better approach, it is still quite inefficient, particularly if the array is large. If the array is small and there are few insertions and deletions, then it probably won't matter too much, but for larger arrays with many insertions and deletions to cater for, a far better approach would be to use a linked list. This makes better use of memory, as the list can expand and contract dynamically without the need to copy any elements (or nodes) whatsoever. Some additional memory is required to maintain the links between the nodes but, unlike an array, no memory is ever wasted.
To implement a dictionary using a hash table, you can create a class HashTable that contains an array of linked lists (or buckets) to handle collisions. Each element in the array represents a hash index, where the key-value pairs are stored as nodes in a linked list. The hash function maps keys to indices in the array, allowing for efficient O(1) average time complexity for insertions, deletions, and lookups. Additionally, implement methods for adding, removing, and retrieving values associated with keys, along with a resizing mechanism to maintain performance as the number of entries grows.
It's not exactly true. Array with fixes size are efficient, but do not work well when you have to resize your array. This actually is the answer for your question. Fixed size arrays are not efficient if you have to change the size. Also you cannot destroy them and release memory used to save the array (for that you have to use operator new).
One efficient way to find the median of an unsorted array of numbers is to first sort the array in either ascending or descending order, then determine the middle value as the median.
circular queue
The most efficient way to store a list is with an array.
Java has a very efficient built in implementation of quick sort. You can use it on any array of primitives or Comparable Objects by invoking Arrays.sort(<array>) See related link.
the simple and efficient way to pass an array is pointer to an array like that int (*p)[30] ; // pointer to an array of integer having 30 element