Compact research focuses on designing algorithms and data structures that minimize storage space while maintaining efficient performance. This area of research is crucial for optimizing the storage and processing of large amounts of data in various applications, such as databases, computer networks, and memory systems. Common techniques used in compact research include compression algorithms, data encoding schemes, and memory-efficient data structures. The goal of compact research is to reduce the amount of memory or storage space required to store and process data without sacrificing speed or accuracy.