Lagrangian Relaxation is an optimization technique used to simplify complex constrained problems by relaxing some of the constraints using Lagrange multipliers, transforming the problem into a more tractable form. This approach is particularly useful in combinatorial optimization and integer programming, where it provides bounds and insights into the structure of the original problem.