The rationale for algorithm analysis
In the last two decades, we have witnessed extraordinary advancements in advanced computational systems, particularly in fields such as Artificial Intelligence (AI), Machine Learning, Deep Learning, Robotics, and Computer Vision. This progress owes more to two significant revolutions in the tech world and information society than to improvements in algorithm design. The first revolution was the availability of vast amounts of data following the public release of the Internet in 1991. The second was the tremendous advancements in hardware, including the development of powerful yet affordable processors such as Graphical Processing Units (GPUs) and the creation of ultra-high-capacity memory and storage solutions.
Despite these remarkable improvements in computational resources, the study and analysis of algorithms remain critically important for several reasons:
- Algorithm correctness: Irrespective of the abundance of computational resources...
