Armadillo’s disk-based matrix storage utilizes the Armadisk library, allowing for efficient handling of large data sets that may not fit in memory. This approach provides several advantages:
1. Reduced memory usage: By storing matrices on disk, Armadillo minimizes RAM consumption, enabling processing of larger data sets without exhausting system resources.
2. Improved performance: Disk-based storage allows for out-of-core computations, where only necessary portions of the data are loaded into memory during calculations, reducing computational overhead and improving overall performance.
3. Scalability: As data sets grow, Armadillo can efficiently handle them by leveraging available disk space instead of relying solely on limited memory capacity.
