Algorithmic Design and Data Structuring for a Newbie

 

Let us talk briefly about algorithmic design and data structuring. “Data structure is a particular way of storing and organizing data so that it can be used efficiently” (WLU, 2019). There are several data structures, each with a different field of application and implementation. Learning algorithm design principles in data structures are critical for building scalable systems, regardless of programming language. Choosing an appropriate design method for algorithms is a challenging but critical endeavor. Different algorithms are used in computing, like search, sort, and graph. Some algorithm design techniques include brute force, divide and conquer, greedy, and more (WLU, 2019). Some data structure designs are designed to occupy less space than the solutions with the other data structures and the large constants hidden in asymptotic space bounds. As we approach the field of algorithm analysis and creation in data structures, the most trustworthy and well-known paths are Searching and Sorting Algorithms. The best strategy to apply the appropriate algorithmic design is to choose between top-down and bottom-up strategies. The execution time of the program must account for how much data the program will need to store. As a result, an appropriate data structure architecture must be chosen.

References

WLU. (2019, February 12). How is algorithm design applied? https://online.wlu.ca/news/2019/02/12/how-algorithm-design-applied