Goldstein's Algorithm is a method used in computer science for solving optimization problems, particularly in the context of linear programming. It focuses on finding the best solution from a set of feasible solutions by iteratively improving the current solution based on specific criteria. The algorithm works by evaluating the objective function and adjusting variables to move towards optimality. It is particularly useful in scenarios where traditional methods may be inefficient, providing a systematic approach to reach the best possible outcome in various applications, including resource allocation and scheduling.