My Beginners Understanding of Algorithms and Data Structure Designs

 Hello everyone,

When it comes to writing code, one thing that I have learned so far is that if you are just learning, you will make almost every mistake you can think of and even ones you don’t think of. I think I have spent as much time fixing mistakes as I have writing code in general. One way that can help prevent some of these mistakes is through the use of algorithmic design and data structure techniques. Algorithmic design is an important step in development as it is almost like a blueprint for solving specific problems. One of the reasons that it is so important is that it helps you keep your code efficient and reliable when done properly. When it comes to data structure techniques, they allow for the efficient organization, management, and storage of data. Due to the efficiency of the storage, it allows for the information to be accessed more quickly than a disorganized storage system. It is important to have a combination of these systems to ensure that your programs run efficiently and quickly.

There are many different types of Algorithm categories. They all have their own uses, so there is no one perfect Algorithm for every scenario. The one that I have found the most useful so far is the Merge Sort Algorithm. The Merge Sort Algorithm breaks the information into smaller pieces, then it begins to sort through the data, and finally it merges the broken-down pieces back together into one list. Granted, that is a dulled-down explanation, but it gives the general idea as a starting point to grow on. You would generally use this type of algorithm with a large amount of information, such as a database.

Data Structures are complex in their own way. They can be used to sort and store almost every type of information that you could think of. They all have their own uses in some form. There is no best option for everything. The closest thing to that would be the use of Arrays or Linked Lists in my opinion. Arrays hold memory slots for fixed-size data points. Whereas, Linked Lists utilize nodes linked through the use of pointers. Arrays are best used for when storing similar data types as that is what it is build for. Linked lists, on the other hand, are best used when frequent inputs and deletions from a system are needed, but you do not want to change the entire data set.

Moving forward, I am going to continue experimenting with different uses of the various types of Algorithms and Data Structure Techniques. Learning Java has assisted my understanding of how these cooperate with each other to create a system that is efficient and swift in execution.

Thank you all for reading.