Newbie to Newbie: Applying Algorithmic Design and Data Structure Techniques

 

Understanding Algorithmic Design and Data Structure Techniques

Before you decide to apply algorithmic designs to your programs, it is vital that you understand what it is you are applying and how different techniques and designs will affect your programs. Algorithmic Designs are essentially the building blocks of an application and create a pathway to solutions and problem-solving in software development. It is important to know the fundamentals of what makes algorithmic designs and data structure techniques. An algorithmic design is created with the intent to solve a particular problem that has been introduced via a number of steps.

 

Better than Others?

Some algorithms and data structures will be better implemented depending on the situation or issues introduced. There are a few classifications to keep in mind when choosing which design and technique you are looking for. These classifications are as follows:

Organization: Due to the complex nature of algorithms, it is important to keep them classified based on what they contain in order to keep understanding and organization, especially when comparing multiple algorithms.

Problem Solving: By classifying each algorithm based on which functions they contain and utilize, it is much simpler to identify which algorithms are needed or better-suited for issues that are presented within a program.

Performance Comparison: Once you have a general idea of how your algorithm operate, you can make an informed decision on which algorithm best suits your program, especially when it comes to utilization of time and space.

Reusability: Once an algorithm is properly classified, identifying which to use for what problems and programs becomes easier. It is simpler to identify similar designs and structures for similar problems and issues.

Research: Collecting knowledge regarding these algorithms allows for informed improvement with existing and future designs.

How to Apply the Proper Technique.

Before you even begin to apply your chosen techniques, I would follow the above classifications and properly identify a few options I feel could work for my system. It is important to take enough time to do this as it will save you time later, especially when it comes to time and space complexity later in your process. There is always to potential to improve and update existing methods, especially once you have an idea of how your program likes to work and function with the given algorithms at the time.