👉 Interiorized, also known as "in-iterative" or "interiorization," is a method of solving mathematical problems by breaking down their solutions into smaller subproblems and solving them individually. This approach helps in reducing the computational complexity of the problem and makes it easier to find the solution that best fits the given constraints. Interiorized methods are particularly useful when dealing with large-scale optimization problems, where each element in the input set is a variable or an objective function. They can be applied to