From Logic to Efficiency: How Algorithms and Data Structures Shape Better Programs
When you begin programming, it is easy to focus only on writing code that works. However, as programs grow larger, performance and organization become just as important. Algorithmic design and data structure techniques help developers write structured, efficient, and reliable programs. Understanding how algorithms behave and how data is stored allows you to make smart choices that improve both speed and clarity. Understanding Algorithm Efficiency The University of Texas Complexity Analysis reading explains that algorithm efficiency is measured through time complexity and space complexity . Time complexity refers to how the running time of an algorithm increases as the size of the input grows. For example, sorting ten items might take only a moment, but sorting ten million items can take much longer if the algorithm is inefficient. Space complexity refers to the amount of memory an algorithm uses as it runs. When we analy...