Fast computation is a research area focused on developing efficient algorithms and techniques for quickly processing and analyzing large amounts of data. This field typically involves the use of parallel computing, distributed systems, and optimization methods to speed up calculations and reduce processing time. Fast computation is essential in various fields such as machine learning, big data analytics, scientific computing, and image processing, where quick results are crucial for making timely decisions and solving complex problems. Researchers in this area work on designing algorithms that can handle massive datasets effectively and efficiently, while also considering factors like scalability, error tolerance, and energy efficiency.