Brief Guide to Static and Dynamic Data Structures

A data structure is a method of properly organizing and storing data so that the necessary operations on them may be carried out in a time and memory-efficient manner. Data structures simplify programming, especially in terms of time complexity. There are two data structures: 1. Static Data Structure, and 2. Dynamic Data Structures.

Static and Dynamic Data Structures

Static Data Structure: What Is It?

1. The size of a static data structure is predetermined. Although the data structure's allotted memory space cannot be changed, it is content can.
2. Static data structures are defined as those with a fixed size. Static data structures are allocated memory at compile time; after compiling, the user cannot change the size of these structures but can change the data stored within them.
3. The constant size of static data structures has a lot of advantages but also a lot of disadvantages. Although the fixed memory allocation eliminates the need to worry about overflow and underflow when adding or removing elements from static data structures, it is not space-efficient and wastes a lot of memory.
4. The finest example of a static data structure is an array because its data can be modified later and has a fixed size.
5. Since all of the memory allocated for static data structures is contiguous because it is provided at compile time, the user only has to retain the address of the first element, and the location of the following components may be quickly determined.

An array is an example of a static data structure.


static data structure

Dynamic Data Structure: What Is It?

1. The size of a dynamic data structure is not fixed and might change when operations are carried out on it. Dynamic data structures are created to make it easier to update data structures while programs are running.
2. Dynamic data structures are defined as data structures that change in size. For dynamic data structures, memory is allotted at runtime, and the size of the dynamic data structures changes as the code is executed. Additionally, changes can be made to the dynamic data structure's size and elements while the code runs.
3. While dynamic data structures have many advantages, they also have many disadvantages. Dynamic memory allocation prevents memory loss and allows us to allot space for the necessary number of elements. For the dynamic data structure to be safe from overflow and underflow situations, users must carefully review and insert or delete data.
4. There are countless examples of dynamic data structures, including trees and linked lists, which are common examples.
5. Dynamic data structures' allocated memory is non-contiguous because it is allocated at runtime, which reduces their performance. After all, we have to create another variable to store the address of their allocated memory.

Linked List is an example of a dynamic data structure.

Dynamic Data Structures
Linked List

Features of Static and Dynamic Data Structures

Static Data Structures' Features

Static data structures have a variety of features:

Let's talk about the most well-known among them:

1. Static memory is allocated for static data structures at compile time by the compiler and is kept in the program's stack memory.
2. When the application stops or the memory allotted to the static data structures is no longer needed, it is released.
3. There is no need to record the internal details of the data structure or an explicit data variable to keep the information about memory placement because, as we have already established, persistent memory is allotted to static data structures.


The Characteristics of Dynamic Data Structures

Dynamic data structures have a variety of features:

Let's talk about the most well-known among them:

1. Dynamic memory is allocated for dynamic data structures at runtime and is kept in the program's heap memory.
2. The dynamic data structures' memory allocations don't deallocate when they are no longer needed, which may be the root of the memory leak issue.
3. Only when the program terminates, or the user manually deallocates the memory using the free() method in C, the delete() function in C++, etc., does a dynamic data structure's memory get released.
4. Since the memory allotted to dynamic data structures is not contiguous, users must store explicit data variables or the structural information of the data structure to store the contents of each memory region.


Static Data Structures: Benefits and Disadvantages

Advantages: Programmers can benefit significantly from static data structures in various ways.

Here are a few of its benefits:

1. Because the compiler performs all allocation and deallocation operations, handling static data structures is simple.
2. There is no need to keep the data structure's structure or any other explicit variables to store the memory location because memory is allocated in a contiguous form.
3. The user won't have to worry about overflow or underflow situations while adding or removing any member from the relevant data structure because of the fixed size.
4. It's simple to program, and random access is provided via data structures like arrays.
5. Static data structures are tremendously helpful for programmers. However, everything that is excellent also has drawbacks.


Here are a few drawbacks of static data structures:

1. Users must calculate the maximum amount of memory that static data structures will use, which may be higher than what is needed and result in memory loss.
2. It is only possible to insert a new element between two existing ones in a static data structure if there is a gap between them; otherwise, the operation would take a long time.
3. Eliminating one element may leave a gap between two other elements, and filling that gap takes time.


What Benefits and Drawbacks Come with Dynamic Data Structures?

Benefits: Dynamic data structures provide many excellent features and are much easier to use than static data structures in terms of memory usage.


Here are a few of its benefits:

1. Users don't need to be concerned about the maximum or minimum size needed because the application handles everything at runtime.
2. The placement and removal of pieces are often best in terms of time and space.
3 Due to the user's ability to deallocate memory when not required, We can use the same memory for different purposes. If, after use, a linked list of character data types is no longer needed, it can be released from memory and used to build a linked list of double data types.
4. The construction of dynamic data structures may be complex, making them difficult for beginners to handle.


Here are a few of their drawbacks:

1. The performance of dynamic data structures is decreased because we have to establish another variable to store the address of their allocated memory. After all, memory for dynamic data structures is allocated at runtime, making allocated memory non-contiguous.
2. A memory leak could happen if the user forgets to deallocate the allocated memory because it only releases when the program terminates or when the user manually deallocates it.
3. In this situation, overflow or underflow issues could occur since the data structure size is not fixed.


Difference Between Static and Dynamic Data Structure

Difference Between Static and Dynamic Data Structure

Static Data Structure Examples

Whenever we discuss static data structures, arrays are the first thing that comes to mind. An array is the best and most ideal example of a static data structure. While we can define an array with a fixed size that cannot change afterward, we can alter the values that are added to the array.


Dynamic Data Structures Examples

A few examples are linked list, Tree, Heap, and other dynamic data structures. Depending on our requirements, we can specify the size of these data structures, we covered an introduction to data structures and algorithms extensively. They can have memory allocated to them, which we can then release when they are no longer required.

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