Application of Algorithmic Design and Data Structures in Developing Structured Programs

 In all computer programming including Java, there is often multiple ways to solve a problem. As experience is gained in a Java programming, the coder will develop an intuition for selecting the right algorithmic design and data structures based on the problem or design they are trying to solve or achieve.

To understand Algorithms in its simple terms, it is a step-by-step procedure or set of rules for performing a specific task or solving a particular problem. When designing on applying Algorithmic design, the software developer must consider the nature of the task. Questions such as the does your application involve sorting, searching or optimizing. Understanding Algorithms and applying it to what your trying to solve, is a determining factor.

With respect to data structures, we first my understand what is a data structure. Data structures is a way of organizing and storing data to perform operations efficiently  with a coded application. There are a few choices that a software developer can choose from. 

Data Structures:

    1. Arrays - These are simple and efficient for accessing elements by indexes, but less efficient for insertions and deletions of data. 

    2. Linked Lists: These are ideal for frequent insertions and deletions of data, but accessing elements by indexes is slower compared to arrays.

    3. Trees: These are hierarchical structures similar to binary trees providing efficient searching and insertion.

In an example to use a data structure for a specific application, Linked list are vital when designing a mobile application in which the insertion and deletion of data in a backend database is required. The speed and performance of linked list will prevent application delays. In thinking about Java arrays, these can be used in designing a financial application that stores stock prices. This is efficient as the insertion and deletion of data is not significant. Concerning data trees, this is good in the automotive industry where you can list the type of car such as sedan, crossover, or suv and then the branches would be the make and model of the vehicles that makes up sedan, crossover and suv. This is very efficient for searching with large databases.

With any coding work that must be done, your typical trying to solve a problem and optimize. Understanding the design requirements and the scope of what the request is asking, provides the developer options on choose the correct algorithm and data structure to code effectively but delivery and solve the problems from the defined scope. Essentially, spending time planning your approach, will yield happy customer and clients in your coding endeavors.

Happy Coding Friends!!!

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