👉 Non-localized is a term used in computer science and machine learning, which refers to algorithms that are not localized within a specific data structure or memory location. These algorithms operate on a global view of all inputs and outputs without localizing them to any particular data point or variable. For example, consider an algorithm that performs matrix multiplication using the Schur complement method. This algorithm is non-localized because it operates on a global view of all matrices without relying on specific data points or variables. Instead,
